how to graph y=-2/3x-5

-2x+3y=-15

Answer:

Step-by-step explanation:

     To eliminate the parameter t and find a Cartesian equation for the parametric equations x = t^2 and y = 9 - 4t, we can solve the first equation for t and substitute it into the second equation.

From x = t^2, we can solve for t as t = √x.

Substituting this value of t into the equation y = 9 - 4t, we get y = 9 - 4√x.

To express the equation in the form x = ay^2 + by + c, we need to manipulate the equation further.

Rearranging the equation y = 9 - 4√x, we have √x = (9 - y)/4.

Squaring both sides to eliminate the square root, we get x = ((9 - y)/4)^2.

Expanding and simplifying further, we have x = (81 - 18y + y^2)/16.

Therefore, the Cartesian equation for the parametric equations x = t^2 and y = 9 - 4t, expressed in the form x = ay^2 + by + c, is:

x = (81 - 18y + y^2)/16.

The value of f(-1, 2, 0, -1) is [tex]-e^2 - 1.[/tex]

To calculate f(-1, 2, 0, -1), we need to substitute these values in the given expression for f(x, y, z, w) as follows:

[tex]f(-1, 2, 0, -1) = (-1)(2)^2(0) - (-1)(-1)^2 - e^2(-1)^2 - (2)^2 - (0)^2 + 2\times (-1)^2[/tex]

Simplifying the expression, we get:

[tex]f(-1, 2, 0, -1) = 0 + 1 - e^2 - 4 + 0 + 2\\f(-1, 2, 0, -1) = -e^2 - 1[/tex]

Therefore, the value of f(-1, 2, 0, -1) is [tex]-e^2 - 1.[/tex]

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The expected number of modes in the distribution of annual incomes of all those in a statistics class, including the instructor is most likely 2. Thus, the correct option is :

(D) The distribution is probably bimodal.

The reasoning behind the expected number of modes being 2 is that there are likely two distinct groups of people in the class: the students and the instructor. Students typically have lower annual incomes, while the instructor, being a professional, likely has a higher annual income. These two separate groups create two peaks in the income distribution, making it bimodal.

A unimodal distribution, on the other hand, would suggest that there is only one group of people in the class with relatively similar income levels. However, in this case, we can reasonably assume that there are two separate groups with distinct income levels.

Thus, the correct option is :

(D) The distribution is probably bimodal.

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the diameter of the tablecloth is approximately 7.0 feet.

To determine the diameter of the tablecloth, we need to use the formula relating the circumference of a circle to its diameter. The formula is:

C = πd

where C is the circumference and d is the diameter.

In this case, the length of the border is given as 21.98 feet, which represents the circumference of the tablecloth.

21.98 = πd

To solve for d (the diameter), we can rearrange the equation and isolate d:

d = 21.98 / π

Using the value of π as approximately 3.14159, we can calculate the diameter:

d ≈ 21.98 / 3.14159 ≈ 7.0 feet

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In a normal distribution, the median is approximately equal to its mean and mode. It means option (a) Approximately equal to is correct.

In a normal distribution, the mean, median, and mode are all measures of central tendency. The mean is the arithmetic average of the data, the median is the middle value when the data are arranged in order, and the mode is the most frequently occurring value. For a normal distribution, the mean, median, and mode are all located at the same point in the distribution, which is the peak or center of the bell-shaped curve.In fact, for a perfectly symmetrical normal distribution, the mean, median, and mode are exactly equal to each other. However, in practice, normal distributions may not be perfectly symmetrical, and there may be slight differences between the mean, median, and mode. Nevertheless, the differences are usually small, and the median is typically approximately equal to the mean and mode in a normal distribution.

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To find f, we need to integrate the given equation f‴(x) = cos(x) three times, using the initial conditions f(0) = 2, f′(0) = 5, and f″(0) = 9.

First, we integrate f‴(x) = cos(x) to get f″(x) = sin(x) + C1, where C1 is the constant of integration.

Using the initial condition f″(0) = 9, we can solve for C1 and get C1 = 9.

Next, we integrate f″(x) = sin(x) + 9 to get f′(x) = -cos(x) + 9x + C2, where C2 is the constant of integration.

Using the initial condition f′(0) = 5, we can solve for C2 and get C2 = 5.

Finally, we integrate f′(x) = -cos(x) + 9x + 5 to get f(x) = sin(x) + 9x^2/2 + 5x + C3, where C3 is the constant of integration.

Using the initial condition f(0) = 2, we can solve for C3 and get C3 = 2.

Therefore, using integration, the solution is f(x) = sin(x) + 9x^2/2 + 5x + 2.

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The input for the function h(e) = 5 - 2e is the variable "e." It represents the value that is being plugged into the function to obtain the output.

In the given function h(e) = 5 - 2e, "e" is the input variable. It represents the value that is being fed into the function to calculate the output value.

When we say "input" in the context of a function, we are referring to the independent variable or the value that we want to evaluate within the function. In this case, "e" is the input variable, and it can take on any valid value.

For example, if we want to find the output value of the function h(e) when e = 3, we substitute e = 3 into the function:

h(3) = 5 - 2(3) = 5 - 6 = -1

In this case, "e" is the input value that is used to calculate the output value of the function h(e).

Moving on to the second question, given the function y = 3x - 5, we need to find the inverse function.

To find the inverse function, we switch the roles of x and y and solve for y.

Start with the given equation: y = 3x - 5

Swap x and y: x = 3y - 5

Solve for y:

x + 5 = 3y

3y = x + 5

y = (x + 5)/3

Therefore, the inverse function of y = 3x - 5 is y = (x + 5)/3.

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Answer: To evaluate the double integral ∬rf(x,y)da over the rectangle r=[4,6]×[−2,−1], we need to set up the integral and then evaluate it.

The integral is given by:

∬rf(x,y)da = ∫∫r x dA

We can evaluate this integral by integrating x over the range [4, 6] and y over the range [−2, −1]:

∬rf(x,y)da = ∫4^6 ∫−2^−1 x dy dx

Integrating with respect to y first, we get:

∬rf(x,y)da = ∫4^6 x (-1 - (-2)) dx

= ∫4^6 x dx

Integrating with respect to x, we get:

∬rf(x,y)da = [x^2/2]4^6

= (6^2 - 4^2)/2

= 10

Therefore, the value of the double integral ∬rf(x,y)da over the rectangle r=[4,6]×[−2,−1] is 10.

We can find the double integral of f(x,y) over the region r using the formula:

∬r f(x,y) da = ∫_-2^-1 ∫₄⁶ f(x,y) dx dy

Substituting f(x,y) = x, we get:

∬r f(x,y) da = ∫_-2^-1 ∫₄⁶ x dx dy

Integrating with respect to x first, we get:

∬r f(x,y) da = ∫_-2^-1 [(1/2) x^2]4⁶ dy

= ∫_-2^-1 (16y + 36) dy

= [8y^2 + 36y]_-2^-1

= [(8(-1)^2 + 36(-1)) - (8(-2)^2 + 36(-2))]

= [8 + 36 + 32 - 72]

= 4

Therefore, the value of the double integral is 4.

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The negative correlation coefficient of -0.73 between consumption of vitamin A and the cancer rate of a particular type of cancer suggests that as vitamin A consumption increases, the cancer rate tends to decrease.

A correlation coefficient measures the strength and direction of the linear relationship between two variables.

In this case, a correlation coefficient of -0.73 indicates a negative correlation between consumption of vitamin A and the cancer rate.

Interpreting this correlation, it can be inferred that there is an inverse relationship between the two variables. As consumption of vitamin A increases, the cancer rate tends to decrease.

However, it is important to note that correlation does not imply causation.

It would be incorrect to conclude that consuming more vitamin A causes this type of cancer. Correlation does not provide information about the direction of causality.

Other factors and confounding variables may be involved in the relationship between vitamin A consumption and cancer rate.

To establish a causal relationship, further research, such as experimental studies or controlled trials, would be necessary. These types of studies can help determine whether there is a causal link between vitamin A consumption and the occurrence of this particular cancer.

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The unit tangent vector T(t) and the principal unit normal vector N(t)=T(t)=N(t)=R'(t) = 2i + 2tj, ||R'(t)|| = 2*sqrt(1 + t^2), T(t) = i/sqrt(1 + t^2) + tj/sqrt(1 + t^2), N(t) = (2t/sqrt(1 + t^2))*i + (1/sqrt(1 + t^2))*j

We are given the vector function R(t) = 2ti + t^2j + 3k, and we need to find the derivative R'(t), its norm, the unit tangent vector T(t), and the principal unit normal vector N(t).

To find the derivative R'(t), we take the derivative of each component of R(t) with respect to t:

R'(t) = 2i + 2tj

To find the norm of R'(t), we calculate the magnitude of the vector:

||R'(t)|| = sqrt((2)^2 + (2t)^2) = 2*sqrt(1 + t^2)

To find the unit tangent vector T(t), we divide R'(t) by its norm:

T(t) = R'(t)/||R'(t)|| = (2i + 2tj)/(2*sqrt(1 + t^2)) = i/sqrt(1 + t^2) + tj/sqrt(1 + t^2)

To find the principal unit normal vector N(t), we take the derivative of T(t) and divide by its norm:

N(t) = T'(t)/||T'(t)|| = (2t/sqrt(1 + t^2))*i + (1/sqrt(1 + t^2))*j

Therefore, we have:

R'(t) = 2i + 2tj

||R'(t)|| = 2*sqrt(1 + t^2)

T(t) = i/sqrt(1 + t^2) + tj/sqrt(1 + t^2)

N(t) = (2t/sqrt(1 + t^2))*i + (1/sqrt(1 + t^2))*j

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The term that best depicts the flow of messages and data flows is  Dotted arrows.(B)

Dotted arrows are used in various diagramming techniques, such as UML (Unified Modeling Language) sequence diagrams, to represent the flow of messages and data between different elements.

These diagrams help visualize the interaction between different components of a system, making it easier for developers and stakeholders to understand the system's behavior.

In these diagrams, dotted arrows show the direction of messages and data flows between components, while solid arrows indicate control flow or object creation. Diamonds are used to represent decision points in other types of diagrams, like activity diagrams, and are not directly related to the flow of messages and data.(B)

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The equation for the horizontal line passing through (3, -1) is y = -1.

The equation for the vertical line passing through (3, -1) is x = 3.

These equations define the lines with a fixed y-value (horizontal line) and a fixed x-value (vertical line) passing through the given point.

The equations for the horizontal and vertical lines passing through the point (3, -1).

Horizontal Line:

A horizontal line has a constant y-value, meaning that all the points on the line have the same y-coordinate.

In this case, since the line passes through the point (3, -1), the y-coordinate is -1.

Therefore, the equation for the horizontal line passing through (3, -1) can be written as:

y = -1

This equation indicates that for any value of x, the y-coordinate will always be -1, resulting in a horizontal line.

Vertical Line:

A vertical line has a constant x-value, meaning that all the points on the line have the same x-coordinate.

In this case, since the line passes through the point (3, -1), the x-coordinate is 3.

Therefore, the equation for the vertical line passing through (3, -1) can be written as:

x = 3

This equation indicates that for any value of y, the x-coordinate will always be 3, resulting in a vertical line.

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Answer:

Step-by-step explanation:

You want the values of x and y in the triangle shown.

The angles marked 4x and 5x form a linear pair, so have a total measure of 180°:

  4x +5x = 180°

  9x = 180° . . . . . . combine terms

  x = 20° . . . . . . . . divide by 9

The sum of angles in the triangle is 180°, so we have ...

  y + 3x + 4x = 180°

  y + 7(20°) = 180° . . . . . . substitute the value of x, collect terms

  y = 40° . . . . . . . . . . . subtract 140°

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True.  An optimal solution to a linear programming problem can be found at an extreme point of the feasible region for the problem. This is known as the extreme point theorem of linear programming.

An extreme point is a vertex or corner point of the feasible region. In a linear programming problem, the objective function is optimized subject to a set of linear constraints. The feasible region is the set of all points that satisfy these constraints.

The extreme point theorem states that if a feasible region is bounded and the objective function has a finite maximum or minimum value, then an optimal solution can be found at an extreme point of the feasible region. This is because the objective function is linear and takes on its maximum or minimum value at the boundary points of the feasible region, which are the extreme points.

Therefore, when solving a linear programming problem, it is important to identify the extreme points of the feasible region as they can be used to determine the optimal solution. This can be done using techniques such as the simplex method, which moves from one extreme point to another until the optimal solution is found.

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To determine which policy is more popular, we can conduct a hypothesis test. Let's assume that the null hypothesis is that the two policies have the same level of popularity, and the alternative hypothesis is that one policy is more popular than the other. We can calculate the p-value for each policy using a two-sample proportion test. Comparing the p-values to the significance level of 10%, we can see if either policy is significantly more popular.

To conduct a hypothesis test, we need to calculate the sample proportions for each policy. For the first policy, the sample proportion is 346/452 = 0.765. For the second policy, the sample proportion is 269/378 = 0.712.

We can then calculate the standard error for each sample proportion using the formula sqrt(p*(1-p)/n), where p is the sample proportion and n is the sample size. For the first policy, the standard error is sqrt(0.765*(1-0.765)/452) = 0.029. For the second policy, the standard error is sqrt(0.712*(1-0.712)/378) = 0.032.

We can then calculate the test statistic, which is the difference between the sample proportions divided by the standard error of the difference. This is given by (0.765 - 0.712) / sqrt((0.765*(1-0.765)/452) + (0.712*(1-0.712)/378)) = 2.13.

Finally, we can calculate the p-value for this test statistic using a normal distribution. The p-value for a two-tailed test is 0.033, which is less than the significance level of 10%. Therefore, we can conclude that the first policy is significantly more popular than the second policy at a 10% significance level.

Based on the hypothesis test, we can conclude that the first policy is more popular than the second policy at a 10% significance level. Therefore, the politician should publicly support the first policy during the reelection campaign.

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The value of the measure of m ∠GJK is, 15 degree

We have to given that;

In circle H with the measure of a minor arc GJ = 30°,

Since, We know that;

⇒ m ∠GJK  = 1/2 (m GJ)

Substitute all the values, we get;

⇒ m ∠GJK  = 1/2 (m GJ)

⇒ m ∠GJK  = 1/2 (30)

⇒ m ∠GJK  = 15 degree

Thus, The value of the measure of m ∠GJK is, 15 degree

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The series is convergent according to the Alternating Series Test.

To test the series for convergence or divergence, we first need to identify the general term or nth term of the series. In this case, the nth term is given by bn = (-1)ⁿ * n⁷ / 7ⁿ

To evaluate the limit as n approaches infinity of bn, we can use the ratio test:

lim n → [infinity] |(bn+1 / bn)| = lim n → [infinity] [(n+1)⁷ / 7(n+1)] * [7n / n⁷]
= lim n → [infinity] [(n+1)/n] * (7/n)⁶* 1/7
= 1 * 0 * 1/7
= 0

Since the limit is less than 1, the series converges by the ratio test. Therefore, the series is convergent.

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The answer is ,  the transactions just described contribute how much to U.S. GDP for 2014 is $17 million. Option (b) .

Explanation: Gross domestic product (GDP) is a measure of a country's economic output.

The total market value of all final goods and services produced within a country during a certain period is known as GDP.

The transactions just described contribute $17 million to U.S. GDP for 2014. GDP is made up of three parts: government spending, personal consumption, and business investment, and net exports.

The transactions just described contribute how much to U.S. GDP for 2014 is $17 million.

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The number 102 in the sequence 8n + 6 is the nearest to 100.

To find the nearest number in the sequence 8n + 6 to 100, we need to determine the value of n that gives us a number closest to 100.

Let's start by setting up an equation:

8n + 6 = 100

To solve for n, we can subtract 6 from both sides of the equation:

8n = 100 - 6

8n = 94

Now, divide both sides of the equation by 8:

n = 94 / 8

n = 11.75

Since n represents a position in the sequence, it must be an integer. Therefore, we need to round 11.75 to the nearest whole number.

The nearest whole number to 11.75 is 12.

So, the nearest number in the sequence 8n + 6 to 100 is when n = 12.

Plugging n = 12 back into the equation:

8(12) + 6 = 96 + 6 = 102

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In order to prove the statement (A ∩ B) ⊆ A, we need to show that every element in the intersection of A and B is also an element of A. Let's go through the steps:

a. If x is in (A ∩ B), x is in A and x is in B by the definition of intersection. The intersection of two sets A and B consists of elements that are present in both sets.
b. Since x is in A and x is in B, we can conclude that x is indeed in A. This step demonstrates that the element x, which is part of the intersection (A ∩ B), belongs to the set A.
c. As x is in A, it satisfies the condition for being part of the intersection (A ∩ B), i.e., x is in A and x is in B by the definition of intersection.
Based on these steps, we can conclude that for any element x in the intersection (A ∩ B), x must also be in set A. This means (A ∩ B) ⊆ A, proving the given statement.

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The double integral flux is -72π.

We can parameterize the cone as follows:

x = r cosθ

y = r sinθ

z = z

where r is the distance from the z-axis and θ is the angle of rotation around the z-axis.

Then we can calculate the normal vector as follows:

n = (∂x/∂r × ∂y/∂θ)i + (∂y/∂r × ∂x/∂θ)j + (∂z/∂r × ∂z/∂θ)k

= (-r cosθ)i + (-r sinθ)j + (6r/(2√(x^2+y^2)))k

= -r(cosθ i + sinθ j) + 3k/√(x^2+y^2)

Taking the dot product of F with n, we get:

F · n = (5xy)i - 2zk · [-r(cosθ i + sinθ j) + 3k/√(x^2+y^2)]

= -2z(3/√(x^2+y^2)) = -6z/r

Then the flux integral becomes:

double integral_S F · n dS = ∫∫(-6z/r) r dr dθ dz

where the limits of integration are

0 ≤ θ ≤ 2π

0 ≤ z ≤ 6

0 ≤ r ≤ 6√(z^2/36 - 1)

Evaluating the integral, we get:

∫∫(-6z/r) r dr dθ dz = -72π

Therefore, the flux is -72π.

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Using the binomial series formula. The first four terms of the MacLaurin series for 7√(1 + x) are:

7 + (7/2)x - (7/16)x^2 + (21/256)x^3

(a) Using the binomial series formula, we have:

1/(1 + x)^8 = (1 + x)^(-8)

= 1 + (-8)x + (-8)(-9)/2! x^2 + (-8)(-9)(-10)/3! x^3 + ...

Therefore, the first four terms of the MacLaurin series for 1/(1 + x)^8 are:

1 - 8x + 36x^2 - 56x^3

(b) Using the binomial series formula, we have:

7√(1 + x) = 7(1 + x)^(1/2)

= 7(1 + (1/2)x + (-1/8)x^2 + (1/16)x^3 + ...)

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To solve the initial value problem using Laplace transform, we first take the Laplace transform of the given differential equation to obtain the equation Y(s)(s^2- s - 2) = -6s + 6. Solving for Y(s), we get Y(s) = (6s-18)/(s^2-s-2). Using partial fractions, we can write Y(s) as Y(s) = 3/(s-2) - 3/(s+1). Inverting the Laplace transform of Y(s), we get the solution y(t) = 3e^(2t) - 3e^(-t) - 3t(e^(-t)). Therefore, the solution to the given initial value problem is y(t) = 3e^(2t) - 3e^(-t) - 3t(e^(-t)), which satisfies the given initial conditions.

The Laplace transform is a mathematical technique used to solve differential equations. To use the Laplace transform to solve the given initial value problem, we first take the Laplace transform of the differential equation y'' - y' - 2y = 0 using the property that L(y'') = s^2 Y(s) - s y(0) - y'(0) and L(y') = s Y(s) - y(0).

Taking the Laplace transform of the differential equation, we get Y(s)(s^2 - s - 2) = -6s + 6. Solving for Y(s), we get Y(s) = (6s - 18)/(s^2 - s - 2).

Using partial fractions, we can write Y(s) as Y(s) = 3/(s-2) - 3/(s+1). We then use the inverse Laplace transform to obtain the solution y(t) = 3e^(2t) - 3e^(-t) - 3t(e^(-t)).

In summary, we used the Laplace transform to solve the given initial value problem. We first took the Laplace transform of the differential equation to obtain an equation in terms of Y(s). We then solved for Y(s) and used partial fractions to write it in a more convenient form. Finally, we used the inverse Laplace transform to obtain the solution y(t) that satisfies the given initial conditions.

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The midpoint of the line segment with endpoints P(-2, 1) and Q(4, -7) is M(1, -3).

To find the midpoint of a line segment, we can use the midpoint formula. The formula states that the midpoint (M) of a line segment with endpoints (x₁, y₁) and (x₂, y₂) can be calculated as follows:

M = ((x₁ + x₂) / 2, (y₁ + y₂) / 2)

Using the given endpoints P(-2, 1) and Q(4, -7), we can substitute the values into the formula to find the midpoint.

For the x-coordinate of the midpoint:

x₁ = -2

x₂ = 4

(x₁ + x₂) / 2 = (-2 + 4) / 2 = 2 / 2 = 1

Therefore, the x-coordinate of the midpoint is 1.

For the y-coordinate of the midpoint:

y₁ = 1

y₂ = -7

(y₁ + y₂) / 2 = (1 + (-7)) / 2 = -6 / 2 = -3

Hence, the y-coordinate of the midpoint is -3.

Combining the x-coordinate and y-coordinate, we have the coordinates of the midpoint M(1, -3).

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Complete Question:

Find the midpoint of the endpoint segment P (-2,1) and Q (4-7)

Mean/variance asset allocation optimization is a strategy used in portfolio management that involves selecting the optimal mix of investments to achieve the highest possible return given a certain level of risk.

The objective function is to maximize the expected return while minimizing the portfolio's volatility or risk. Two constraints that could be used include setting a maximum allocation to any one asset class and maintaining a minimum level of diversification across the portfolio. For example, the objective function could be expressed as:

Maximize: E(R) - k * Var(R)

Subject to:
- Sum of weights = 1
- Maximum allocation to any one asset class = x%
- Minimum diversification = y

Here, E(R) represents the expected return of the portfolio, Var(R) represents the variance or volatility of the portfolio, k is a constant that represents the investor's risk tolerance, and x% and y are pre-determined limits for the constraints.

By solving for the optimal weights of the portfolio using this model, investors can balance the potential for higher returns with the desire to limit risk.

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Let's denote the number as 'r'.

According to the given information, when 4 more than the square of the number r is multiplied by 2, the result is 80. Mathematically, this can be expressed as:

2(r^2 + 4) = 80

Now, let's solve this equation to find the value of 'r':

2r^2 + 8 = 80

2r^2 = 80 - 8

2r^2 = 72

r^2 = 72 / 2

r^2 = 36

Taking the square root of both sides to solve for 'r':

r = ±√36

Since r > 0 (as specified in the question), we can disregard the negative solution.

r = √36

r = 6

Therefore, the value of r is 6.

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If you had 120 longhorns in Texas where they were worth $1-2, you would get approximately $180 for them. It is important to note that this is just an estimate and the actual amount you would get for your longhorns may vary depending on market conditions, demand, and other factors.

If you had 120 longhorns in Texas where they were worth $1-2, then the amount of money you would get for them can be calculated using the following steps:

Step 1: Calculate the average value of each longhorn. To do this, find the average of the given range: ($1 + $2) / 2 = $1.50 .

Step 2: Multiply the average value by the number of longhorns: $1.50 x 120 = $180 .

Therefore, if you had 120 longhorns in Texas where they were worth $1-2, you would get approximately $180 for them. It is important to note that this is just an estimate and the actual amount you would get for your longhorns may vary depending on market conditions, demand, and other factors.

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The nth term of the function is f(n) = 6n² - 15n + 6

From the question, we have the following parameters that can be used in our computation:

-3,0,5,12,21

So, we have

-3, 0, 5, 12, 21

In the above sequence, we have the following first differences

3   5   7   9

The second differrences are

2   2    2

This means that the sequence is a quadratic sequence

So, we have

f(0) = -3

f(1) = 0

f(2) = 5

A quadratic sequence is represented as

an² + bn + c

Using the points, we have

a + b + c = -3

4a + 2b + c = 0

9a + 3b + c = 15

So, we have

a = 6, b = -15 and c = 6

This means that

f(n) = 6n² - 15n + 6

Hence, the nth term of the function is f(n) = 6n² - 15n + 6

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Therefore, In summary: a. Independent samples, b. Paired (dependent) samples.

In both situations, we need to determine if the samples are independent or paired (dependent).
a. The researcher gathers two random samples of GPAs from 100 men and 100 women. These samples are not related, as they are collected separately and do not depend on each other. Therefore, this situation has independent samples.
b. In this case, the researcher collects a sample of husbands and wives, and each person reports his or her GPA. The samples are related because they are taken from couples, where the GPA of one spouse may be influenced by the other spouse's GPA. This situation has paired (dependent) samples.

Therefore, In summary: a. Independent samples, b. Paired (dependent) samples.

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The fraction 1/1/6 is equivalent to the whole number 6.

When we write a fraction like 1/1/6, it is important to understand which part is the numerator and which part is the denominator. In this case, the fraction can be written as:

1 ÷ 1 ÷ 6

To simplify this expression, we need to remember that division is the same as multiplication by the reciprocal. So, we can rewrite the expression as:

1 × 6 ÷ 1

Now, we can see that the numerator is 1 times 6, which equals 6, and the denominator is 1. So, we can write the fraction as:

6/1

This fraction can be simplified further by dividing both the numerator and denominator by 1, which gives us:

6/1 = 6

Therefore, the fraction 1/1/6 is equivalent to the whole number 6.

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Answer:

2,5,10,17,26

Step-by-step explanation:

You just have to plug 1,2,3,4, and 5 in for n.