To Predict: The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Question

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Answer 1

Question

Chapter 12.1, Problem 1E

To determine

To Predict:

The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Expert Solution & Answer

Answer to Problem 1E

Solution:

Strong positive

Explanation of Solution

The points in the scatter plot roughly follow a straight-line pattern. The two variables appear to have a linear relationship.

Positive linear relationship:

The direction of the pattern tells how the variables respond to each other. A positive slope indicates that as the values of one variable increase, so do the values of the other variable.

Negative linear relationship:

A negative slope indicates that as the values of one variable increase, the values of the other variable decrease.

The strength of the linear relationship is determined by how closely the points in the scatter plot resemble a straight line.

In the stronger relationship, the diagram looks like a straight line.

In the weaker relationship, the points are more scattered and the diagram doesn’t look like a straight line.

Calculation:

Given that Height and shoe size

As the height increases, the shoe size is usually higher.

The scatter plot of height versus shoe size shows a predictable pattern.

That is, it shows that shoe size seems to increase as height increases.

The two variables appear to have a linear relationship, meaning that the points in the scatter plot roughly follow a straight-line pattern.

Thus, the scatter plot would have a positive slope.

The type of the linear relationship between the variables in “Height and shoe size” is positive.

The strength of the linear relationship between the variables in “Height and shoe size” is strong.

Final statement:

Therefore, the type and strength of the linear relationship between the variables in “Height and shoe size” can be predicted as strong positive.

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Please help me with this statistics question

Please help me with the following statistic question

To evaluate the success of a 1-year experimental program designed to increase the mathematical achievement of underprivileged high school seniors, a random sample of participants in the program will be selected and their mathematics scores will be compared with the previous year’s statewide average of 525 for underprivileged seniors. The researchers want to determine whether the experimental program has increased the mean achievement level over the previous year’s statewide average. If alpha=.05, what sample size is needed to have a probability of Type II error of at most .025 if the actual mean is increased to 550? From previous results, sigma=80.

Answer 2

Question

Chapter 12.1, Problem 1E

To determine

To Predict:

The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Expert Solution & Answer

Answer to Problem 1E

Solution:

Strong positive

Explanation of Solution

The points in the scatter plot roughly follow a straight-line pattern. The two variables appear to have a linear relationship.

Positive linear relationship:

The direction of the pattern tells how the variables respond to each other. A positive slope indicates that as the values of one variable increase, so do the values of the other variable.

Negative linear relationship:

A negative slope indicates that as the values of one variable increase, the values of the other variable decrease.

The strength of the linear relationship is determined by how closely the points in the scatter plot resemble a straight line.

In the stronger relationship, the diagram looks like a straight line.

In the weaker relationship, the points are more scattered and the diagram doesn’t look like a straight line.

Calculation:

Given that Height and shoe size

As the height increases, the shoe size is usually higher.

The scatter plot of height versus shoe size shows a predictable pattern.

That is, it shows that shoe size seems to increase as height increases.

The two variables appear to have a linear relationship, meaning that the points in the scatter plot roughly follow a straight-line pattern.

Thus, the scatter plot would have a positive slope.

The type of the linear relationship between the variables in “Height and shoe size” is positive.

The strength of the linear relationship between the variables in “Height and shoe size” is strong.

Final statement:

Therefore, the type and strength of the linear relationship between the variables in “Height and shoe size” can be predicted as strong positive.

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Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Question

Chapter 12.1, Problem 1E

To determine

To Predict:

The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Expert Solution & Answer

Answer to Problem 1E

Solution:

Strong positive

Explanation of Solution

The points in the scatter plot roughly follow a straight-line pattern. The two variables appear to have a linear relationship.

Positive linear relationship:

The direction of the pattern tells how the variables respond to each other. A positive slope indicates that as the values of one variable increase, so do the values of the other variable.

Negative linear relationship:

A negative slope indicates that as the values of one variable increase, the values of the other variable decrease.

The strength of the linear relationship is determined by how closely the points in the scatter plot resemble a straight line.

In the stronger relationship, the diagram looks like a straight line.

In the weaker relationship, the points are more scattered and the diagram doesn’t look like a straight line.

Calculation:

Given that Height and shoe size

As the height increases, the shoe size is usually higher.

The scatter plot of height versus shoe size shows a predictable pattern.

That is, it shows that shoe size seems to increase as height increases.

The two variables appear to have a linear relationship, meaning that the points in the scatter plot roughly follow a straight-line pattern.

Thus, the scatter plot would have a positive slope.

The type of the linear relationship between the variables in “Height and shoe size” is positive.

The strength of the linear relationship between the variables in “Height and shoe size” is strong.

Final statement:

Therefore, the type and strength of the linear relationship between the variables in “Height and shoe size” can be predicted as strong positive.

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Answer 4

Question

Chapter 12.1, Problem 1E

To determine

To Predict:

The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Expert Solution & Answer

Answer to Problem 1E

Solution:

Strong positive

Explanation of Solution

The points in the scatter plot roughly follow a straight-line pattern. The two variables appear to have a linear relationship.

Positive linear relationship:

The direction of the pattern tells how the variables respond to each other. A positive slope indicates that as the values of one variable increase, so do the values of the other variable.

Negative linear relationship:

A negative slope indicates that as the values of one variable increase, the values of the other variable decrease.

The strength of the linear relationship is determined by how closely the points in the scatter plot resemble a straight line.

In the stronger relationship, the diagram looks like a straight line.

In the weaker relationship, the points are more scattered and the diagram doesn’t look like a straight line.

Calculation:

Given that Height and shoe size

As the height increases, the shoe size is usually higher.

The scatter plot of height versus shoe size shows a predictable pattern.

That is, it shows that shoe size seems to increase as height increases.

The two variables appear to have a linear relationship, meaning that the points in the scatter plot roughly follow a straight-line pattern.

Thus, the scatter plot would have a positive slope.

The type of the linear relationship between the variables in “Height and shoe size” is positive.

The strength of the linear relationship between the variables in “Height and shoe size” is strong.

Final statement:

Therefore, the type and strength of the linear relationship between the variables in “Height and shoe size” can be predicted as strong positive.

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Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 5

Chapter 12.1, Problem 1E

To determine

To Predict:

The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Expert Solution & Answer

Answer to Problem 1E

Solution:

Strong positive

Explanation of Solution

The points in the scatter plot roughly follow a straight-line pattern. The two variables appear to have a linear relationship.

Positive linear relationship:

The direction of the pattern tells how the variables respond to each other. A positive slope indicates that as the values of one variable increase, so do the values of the other variable.

Negative linear relationship:

A negative slope indicates that as the values of one variable increase, the values of the other variable decrease.

The strength of the linear relationship is determined by how closely the points in the scatter plot resemble a straight line.

In the stronger relationship, the diagram looks like a straight line.

In the weaker relationship, the points are more scattered and the diagram doesn’t look like a straight line.

Calculation:

Given that Height and shoe size

As the height increases, the shoe size is usually higher.

The scatter plot of height versus shoe size shows a predictable pattern.

That is, it shows that shoe size seems to increase as height increases.

The two variables appear to have a linear relationship, meaning that the points in the scatter plot roughly follow a straight-line pattern.

Thus, the scatter plot would have a positive slope.

The type of the linear relationship between the variables in “Height and shoe size” is positive.

The strength of the linear relationship between the variables in “Height and shoe size” is strong.

Final statement:

Therefore, the type and strength of the linear relationship between the variables in “Height and shoe size” can be predicted as strong positive.

Answer 6

Chapter 12.1, Problem 1E

To determine

To Predict:

The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Expert Solution & Answer

Answer to Problem 1E

Solution:

Strong positive

Explanation of Solution

The points in the scatter plot roughly follow a straight-line pattern. The two variables appear to have a linear relationship.

Positive linear relationship:

The direction of the pattern tells how the variables respond to each other. A positive slope indicates that as the values of one variable increase, so do the values of the other variable.

Negative linear relationship:

A negative slope indicates that as the values of one variable increase, the values of the other variable decrease.

The strength of the linear relationship is determined by how closely the points in the scatter plot resemble a straight line.

In the stronger relationship, the diagram looks like a straight line.

In the weaker relationship, the points are more scattered and the diagram doesn’t look like a straight line.

Calculation:

Given that Height and shoe size

As the height increases, the shoe size is usually higher.

The scatter plot of height versus shoe size shows a predictable pattern.

That is, it shows that shoe size seems to increase as height increases.

The two variables appear to have a linear relationship, meaning that the points in the scatter plot roughly follow a straight-line pattern.

Thus, the scatter plot would have a positive slope.

The type of the linear relationship between the variables in “Height and shoe size” is positive.

The strength of the linear relationship between the variables in “Height and shoe size” is strong.

Final statement:

Therefore, the type and strength of the linear relationship between the variables in “Height and shoe size” can be predicted as strong positive.

Answer 7

Chapter 12.1, Problem 1E

To determine

To Predict:

The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Answer 8

Expert Solution & Answer

Answer to Problem 1E

Solution:

Strong positive

Answer 9

Expert Solution & Answer

Answer 10

Expert Solution & Answer

Answer 11

Explanation of Solution

The points in the scatter plot roughly follow a straight-line pattern. The two variables appear to have a linear relationship.

Positive linear relationship:

The direction of the pattern tells how the variables respond to each other. A positive slope indicates that as the values of one variable increase, so do the values of the other variable.

Negative linear relationship:

A negative slope indicates that as the values of one variable increase, the values of the other variable decrease.

The strength of the linear relationship is determined by how closely the points in the scatter plot resemble a straight line.

In the stronger relationship, the diagram looks like a straight line.

In the weaker relationship, the points are more scattered and the diagram doesn’t look like a straight line.

Calculation:

Given that Height and shoe size

As the height increases, the shoe size is usually higher.

The scatter plot of height versus shoe size shows a predictable pattern.

That is, it shows that shoe size seems to increase as height increases.

The two variables appear to have a linear relationship, meaning that the points in the scatter plot roughly follow a straight-line pattern.

Thus, the scatter plot would have a positive slope.

The type of the linear relationship between the variables in “Height and shoe size” is positive.

The strength of the linear relationship between the variables in “Height and shoe size” is strong.

Final statement:

Therefore, the type and strength of the linear relationship between the variables in “Height and shoe size” can be predicted as strong positive.

Answer 12

Ch. 12.1 - Prob. 1E Ch. 12.1 - Prob. 2E Ch. 12.1 - Prob. 3E Ch. 12.1 - Prob. 4E Ch. 12.1 - Prob. 5E Ch. 12.1 - Prob. 6E Ch. 12.1 - Prob. 7E Ch. 12.1 - Prob. 8E Ch. 12.1 - Prob. 9E Ch. 12.1 - Prob. 10E

To Predict: The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Concept explainers

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To Predict:

The type and strength of the linear relationship between each pair of variables in “Height and shoe size”: weak negative, strong negative, weak positive, strong positive or no linear relationship at all.

Answer to Problem 1E

Explanation of Solution

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Chapter 12 Solutions