A researcher is examining the effects of income (X1)and number of friends (X2)on personal happiness (Y)and finds an R2 of 0.45.Which of the following is a correct interpretation of this result?

A) Money CAN buy happiness. B) Friends are more important than money for happiness. C) Taken together,income and number of friends explain 45% of the variance in happiness. D) Taken together,income and number of friends explain 0.45% of the variance in happiness. A) Money CAN buy happiness. B) Friends are more important than money for happiness. C) Taken together,income and number of friends explain 45% of the variance in happiness. D) Taken together,income and number of friends explain 0.45% of the variance in happiness. C

If the beta-weight of the first independent (X1)is .45 and the beta-weight of the second independent (X2)is -.50,then

A) X1 has a stronger direct effect than X2. B) X2 has a stronger direct effect than X1. C) Y2 must equal zero. D) the multiple correlation coefficient must be negative. A) X1 has a stronger direct effect than X2. B) X2 has a stronger direct effect than X1. C) Y2 must equal zero. D) the multiple correlation coefficient must be negative. B

If a = 1,b1 = 10,b2 = 10,X1= 2,and X2 = 3,what would the predicted Y score be?

A) 51 B) 26 C) 5 D) 0 A) 51 B) 26 C) 5 D) 0

The coefficient of multiple determination (R2),with two independent variables,is

A) the amount of variation explained by X1 plus the amount of variation explained by X2 after controlling for the effect of X1. B) the amount of variation explained by X1 minus the amount of variation unexplained by X2. C) the total variation in Y minus the amount unexplained by X1 after controlling for X2. D) the sum of all explained and unexplained variation in X1 and X2. A) the amount of variation explained by X1 plus the amount of variation explained by X2 after controlling for the effect of X1. B) the amount of variation explained by X1 minus the amount of variation unexplained by X2. C) the total variation in Y minus the amount unexplained by X1 after controlling for X2. D) the sum of all explained and unexplained variation in X1 and X2.

A researcher wants to predict score on personal happiness (Y)from score on income (X1)and number of friends (X2).Which of the following would be the proper course of action?

A) use the standardized partial slopes of X1 and X2 on Y B) examine the unstandardized partial slopes of X1 and X2 on Y C) compute the partial correlation coefficient for X1 and X2 controlling for Y D) examine the partial slope of Y on each independent separately A) use the standardized partial slopes of X1 and X2 on Y B) examine the unstandardized partial slopes of X1 and X2 on Y C) compute the partial correlation coefficient for X1 and X2 controlling for Y D) examine the partial slope of Y on each independent separately

The coefficient of multiple determination (R2)shows

A) the effect of the control variable after removing the independent from the equation. B) essentially the same thing as a partial gamma. C) the combined effects of all independents on the dependent. D) the zero-order relationships after controlling for the independents. A) the effect of the control variable after removing the independent from the equation. B) essentially the same thing as a partial gamma. C) the combined effects of all independents on the dependent. D) the zero-order relationships after controlling for the independents.

Under what condition could the coefficient of multiple determination (R2)be lower in value than the zero-order correlation coefficients?

A) under no condition;this is mathematically impossible B) only when all bivariate relationships are negative C) only when all bivariate relationships are zero D) only when the relationships are spurious A) under no condition;this is mathematically impossible B) only when all bivariate relationships are negative C) only when all bivariate relationships are zero D) only when the relationships are spurious

Exam 15: Partial Correlation and Multiple Regression and Correlation

A researcher is examining the effects of income (X₁)and number of friends (X₂)on personal happiness (Y)and finds an R² of 0.45.Which of the following is a correct interpretation of this result?

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Question 1

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If the beta-weight of the first independent (X₁)is .45 and the beta-weight of the second independent (X₂)is -.50,then

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Question 2

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Which of the following would be consistent with a spurious relationship between X and Y?

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Showing 1 - 20 of 44

A researcher is examining the effects of income (X₁)and number of friends (X₂)on personal happiness (Y)and finds an R² of 0.45.Which of the following is a correct interpretation of this result?

If the beta-weight of the first independent (X₁)is .45 and the beta-weight of the second independent (X₂)is -.50,then

Which of the following would be consistent with a spurious relationship between X and Y?

If a = 1,b₁ = 10,b₂ = 10,X₁= 2,and X₂ = 3,what would the predicted Y score be?

The coefficient of multiple determination (R²),with two independent variables,is

Partial correlation will detect all of the following relationships among variables except

A researcher is trying to determine if income (X₁)or number of friends (X₂)is more important in determining personal happiness (Y).Which of the following would be the most profitable course of action?

A Pearson's r calculated for the bivariate relationship between X and Y is .50.After controlling for Z,the partial correlation coefficient is .49.This outcome would be evidence of a(n)____ relationship between X and Y.

The 'first-order' partial correlation coefficient measures

A researcher wants to predict score on personal happiness (Y)from score on income (X₁)and number of friends (X₂).Which of the following would be the proper course of action?

While unstandardized partial slopes permit predictions of Y in the original units of the variable,standardized partial slopes permit an assessment of

The coefficient of multiple determination (R²)shows

Partial and multiple correlation are based on

A Pearson's r calculated for a bivariate relationship is .50.After controlling for Z,the partial correlation coefficient is .07.This outcome would be evidence of a(n)____ relationship between X and Y.

In the least-squares multiple regression equation,the unstandardized partial slopes show

In the multiple regression equation,the partial slopes are analogous to

In regression analysis,the standardized partial slopes are symbolized as

Under what condition could the coefficient of multiple determination (R²)be lower in value than the zero-order correlation coefficients?

Partial and multiple correlation require data which are

Introduction

Basic Descriptive Statistics: Percentages Ratios and Rates Frequency Distributions

Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction in Inferential Statistics, the Sampling Distribution, and Estimation

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Filters

Exam 15: Partial Correlation and Multiple Regression and Correlation

A researcher is examining the effects of income (X1)and number of friends (X2)on personal happiness (Y)and finds an R2 of 0.45.Which of the following is a correct interpretation of this result?

If the beta-weight of the first independent (X1)is .45 and the beta-weight of the second independent (X2)is -.50,then

Which of the following would be consistent with a spurious relationship between X and Y?

If a = 1,b1 = 10,b2 = 10,X1= 2,and X2 = 3,what would the predicted Y score be?

The coefficient of multiple determination (R2),with two independent variables,is

Partial correlation will detect all of the following relationships among variables except

A researcher is trying to determine if income (X1)or number of friends (X2)is more important in determining personal happiness (Y).Which of the following would be the most profitable course of action?

A Pearson's r calculated for the bivariate relationship between X and Y is .50.After controlling for Z,the partial correlation coefficient is .49.This outcome would be evidence of a(n)____ relationship between X and Y.

The 'first-order' partial correlation coefficient measures

A researcher wants to predict score on personal happiness (Y)from score on income (X1)and number of friends (X2).Which of the following would be the proper course of action?

While unstandardized partial slopes permit predictions of Y in the original units of the variable,standardized partial slopes permit an assessment of

The coefficient of multiple determination (R2)shows

Partial and multiple correlation are based on

A Pearson's r calculated for a bivariate relationship is .50.After controlling for Z,the partial correlation coefficient is .07.This outcome would be evidence of a(n)____ relationship between X and Y.

In the least-squares multiple regression equation,the unstandardized partial slopes show

In the multiple regression equation,the partial slopes are analogous to

In regression analysis,the standardized partial slopes are symbolized as

Under what condition could the coefficient of multiple determination (R2)be lower in value than the zero-order correlation coefficients?

Partial and multiple correlation require data which are

Introduction

Basic Descriptive Statistics: Percentages Ratios and Rates Frequency Distributions

Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction in Inferential Statistics, the Sampling Distribution, and Estimation

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Filters

A researcher is examining the effects of income (X₁)and number of friends (X₂)on personal happiness (Y)and finds an R² of 0.45.Which of the following is a correct interpretation of this result?

If the beta-weight of the first independent (X₁)is .45 and the beta-weight of the second independent (X₂)is -.50,then

If a = 1,b₁ = 10,b₂ = 10,X₁= 2,and X₂ = 3,what would the predicted Y score be?

The coefficient of multiple determination (R²),with two independent variables,is

A researcher is trying to determine if income (X₁)or number of friends (X₂)is more important in determining personal happiness (Y).Which of the following would be the most profitable course of action?

A researcher wants to predict score on personal happiness (Y)from score on income (X₁)and number of friends (X₂).Which of the following would be the proper course of action?

The coefficient of multiple determination (R²)shows

Under what condition could the coefficient of multiple determination (R²)be lower in value than the zero-order correlation coefficients?