The association between number of Facebook friends and screen time per day has an r2 value of 0.18. Which of these statements is the best interpretation of this statistic?

A) There is a moderate, positive relationship between Facebook friends and screen time. B) There is a strong, negative relationship between Facebook friends and screen time. C) There is a weak, linear relationship between Facebook friends and screen time. D) Screen time explains 18% of the total variance in number of Facebook friends. A) There is a moderate, positive relationship between Facebook friends and screen time. B) There is a strong, negative relationship between Facebook friends and screen time. C) There is a weak, linear relationship between Facebook friends and screen time. D) Screen time explains 18% of the total variance in number of Facebook friends.

Exam 13: Hypothesis Testing and Measures of Association for Variables Measured at the Interval-Ratio Level

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A sociologist is interested in how family income (in 1,000s of dollars) predicts number of books in the home. He produces a regression equation stating that Y = 50 + 0.25(X). -Which of the following would be an accurate interpretation of this finding?

(Multiple Choice)

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Question 21

A researcher asked a sample of dual-wage-earner families about the percentage of the family budget that is contributed by the wife's job (Y), and about the total number of children (X). Pearson's r for this relationship is -0.34. Which of the following is an appropriate interpretation of these results?

(Multiple Choice)

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Question 22

In what sense does "Y-predicted" provide only an "educated guess" of Y?

(Multiple Choice)

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Question 23

Explain what is meant by a "linear relationship" and provide a brief example of such an association.

(Essay)

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Question 24

A researcher is interested in the relationship between years of schooling and number of alcoholic drinks consumed per week. What would be an appropriate measure of association for these two variables?

(Multiple Choice)

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Question 25

What are the two components of variation used in calculating the coefficient of determination?

(Multiple Choice)

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Question 26

When can a perfect association between variables be seen on a scatterplot?

(Multiple Choice)

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Question 27

A regression line from a sample of high-school students shows that the association between number of days drunk per month and achievement test scores is -5.5. Which of the following could be concluded from this result?

(Multiple Choice)

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Question 28

The Pearson's r correlation between pets owned during one's lifetime and longevity is zero. What is the value of the slope (b)?

(Multiple Choice)

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Question 29

The association between number of Facebook friends and screen time per day has an r² value of 0.18. Which of these statements is the best interpretation of this statistic?

(Multiple Choice)

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Question 30

A basketball coach claims that all variability in free-throw shooting accuracy can be explained by hours of foul shot practice spent per season. What is he claiming about the value of r²?

(Multiple Choice)

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Question 31

Suppose the predicted value of Y in a regression equation is 10. X = 2 and b = 4. What would the Y intercept value be?

(Multiple Choice)

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Question 32

What is the best way to describe a slope that has a value close to zero?

(Multiple Choice)

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Question 33

What assumption about the nature of a relationship is necessary for testing Pearson's r for significance?

(Multiple Choice)

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Question 34

Which of the following is the null hypothesis when testing Pearson's r for significance?

(Multiple Choice)

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Question 35

A sociologist is interested in how family income (in 1,000s of dollars) predicts number of books in the home. He produces a regression equation stating that Y = 50 + 0.25(X). -From this equation, how many books would we predict for a family with an income of $40,000?

(Multiple Choice)

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Question 36

Showing 21 - 36 of 36

A sociologist is interested in how family income (in 1,000s of dollars) predicts number of books in the home. He produces a regression equation stating that Y = 50 + 0.25(X). -Which of the following would be an accurate interpretation of this finding?

In what sense does "Y-predicted" provide only an "educated guess" of Y?

Explain what is meant by a "linear relationship" and provide a brief example of such an association.

A researcher is interested in the relationship between years of schooling and number of alcoholic drinks consumed per week. What would be an appropriate measure of association for these two variables?

What are the two components of variation used in calculating the coefficient of determination?

When can a perfect association between variables be seen on a scatterplot?

A regression line from a sample of high-school students shows that the association between number of days drunk per month and achievement test scores is -5.5. Which of the following could be concluded from this result?

The Pearson's r correlation between pets owned during one's lifetime and longevity is zero. What is the value of the slope (b)?

The association between number of Facebook friends and screen time per day has an r² value of 0.18. Which of these statements is the best interpretation of this statistic?

A basketball coach claims that all variability in free-throw shooting accuracy can be explained by hours of foul shot practice spent per season. What is he claiming about the value of r²?

Suppose the predicted value of Y in a regression equation is 10. X = 2 and b = 4. What would the Y intercept value be?

What is the best way to describe a slope that has a value close to zero?

What assumption about the nature of a relationship is necessary for testing Pearson's r for significance?

Which of the following is the null hypothesis when testing Pearson's r for significance?

A sociologist is interested in how family income (in 1,000s of dollars) predicts number of books in the home. He produces a regression equation stating that Y = 50 + 0.25(X). -From this equation, how many books would we predict for a family with an income of $40,000?

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts, and Graphs

Measures of Central Tendency and Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures for Sample Means and Proportions

Hypothesis Testing With Nominal and Ordinal Variables: CHI Square

Measures of Association for Variables Measured at the Nominal Level

Measures of Association for Variables Measured at the Ordinal Level

Hypothesis Testing With Means and Proportions: The One-Sample Case

Hypothesis Testing With Means and Proportions: The Two-Sample Case

Hypothesis Testing With More Than Two Means: One-Way Analysis of Variance

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 13: Hypothesis Testing and Measures of Association for Variables Measured at the Interval-Ratio Level

A sociologist is interested in how family income (in 1,000s of dollars) predicts number of books in the home. He produces a regression equation stating that Y = 50 + 0.25(X). -Which of the following would be an accurate interpretation of this finding?

In what sense does "Y-predicted" provide only an "educated guess" of Y?

Explain what is meant by a "linear relationship" and provide a brief example of such an association.

A researcher is interested in the relationship between years of schooling and number of alcoholic drinks consumed per week. What would be an appropriate measure of association for these two variables?

What are the two components of variation used in calculating the coefficient of determination?

When can a perfect association between variables be seen on a scatterplot?

A regression line from a sample of high-school students shows that the association between number of days drunk per month and achievement test scores is -5.5. Which of the following could be concluded from this result?

The Pearson's r correlation between pets owned during one's lifetime and longevity is zero. What is the value of the slope (b)?

The association between number of Facebook friends and screen time per day has an r2 value of 0.18. Which of these statements is the best interpretation of this statistic?

A basketball coach claims that all variability in free-throw shooting accuracy can be explained by hours of foul shot practice spent per season. What is he claiming about the value of r2?

Suppose the predicted value of Y in a regression equation is 10. X = 2 and b = 4. What would the Y intercept value be?

What is the best way to describe a slope that has a value close to zero?

What assumption about the nature of a relationship is necessary for testing Pearson's r for significance?

Which of the following is the null hypothesis when testing Pearson's r for significance?

A sociologist is interested in how family income (in 1,000s of dollars) predicts number of books in the home. He produces a regression equation stating that Y = 50 + 0.25(X). -From this equation, how many books would we predict for a family with an income of $40,000?

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts, and Graphs

Measures of Central Tendency and Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures for Sample Means and Proportions

Hypothesis Testing With Nominal and Ordinal Variables: CHI Square

Measures of Association for Variables Measured at the Nominal Level

Measures of Association for Variables Measured at the Ordinal Level

Hypothesis Testing With Means and Proportions: The One-Sample Case

Hypothesis Testing With Means and Proportions: The Two-Sample Case

Hypothesis Testing With More Than Two Means: One-Way Analysis of Variance

Partial Correlation and Multiple Regression and Correlation

Filters

The association between number of Facebook friends and screen time per day has an r² value of 0.18. Which of these statements is the best interpretation of this statistic?

A basketball coach claims that all variability in free-throw shooting accuracy can be explained by hours of foul shot practice spent per season. What is he claiming about the value of r²?