The denotes the change in the predicted value, Y^ , per unit change in X1 when the other independent variables, X2 to Xk, are held constant.

A) part regression coefficient B) part correlation coefficient C) partial correlation coefficient D) partial regression coefficient A) part regression coefficient B) part correlation coefficient C) partial correlation coefficient D) partial regression coefficient

Exam 17: Correlation and Regression

When determining the statistical significance of the relationship between two variables measured by using r, the hypotheses to be tested are H₀: q = 0 and H₁:q × 0

(True/False)

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Question 41

Which statistic is associated only with multiple regression and not with bivariate regression?

(Multiple Choice)

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Question 42

The standard deviation of b, or the standard error, is denoted as .

(Multiple Choice)

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Question 43

Suppose a researcher wants to explain attitudes towards a respondent's city of residence in terms of duration of residence in the city. The attitude is measured on an 11- point scale and the duration of residence is measured in terms of the number of years the respondent has lived in the city. In a pretest of 12 respondents, the calculated t value for the correlation coefficient based on the data given is 8.414. The critical value of t for a two- tailed test and a = 0.05 is 2.228. r = .9361. What is the null hypothesis for this scenario? What do the results mean in terms of the null hypothesis and the correlation coefficient, r?

(Essay)

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Question 44

The standard error of estimate, SEE, is the standard deviation of the actual Y values from the predicted Y^{^}values.

(True/False)

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Question 45

Which of the following is a measure of nonmetric correlation?

(Multiple Choice)

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Question 46

The purpose of stepwise regression is to select, from a large number of predictor variables, a small subset of variables that account for most of the variation in the dependent or criterion variable.

(True/False)

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Question 47

The partial correlation coefficient is a measure of the correlation between Y and X when the linear effects of the other independent variables have been removed from X but not from Y.

(True/False)

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Question 48

Which statement is not true about correlation matrices?

(Multiple Choice)

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Question 49

In multiple regression, if the overall null hypothesis is rejected, .

(Multiple Choice)

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Question 50

The equation for r is represented as _.

(Multiple Choice)

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Question 51

In bivariate regression, which statement is true concerning the coefficient of determination, r²?

(Multiple Choice)

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Question 52

When there are a large number of independent variables and the researcher suspects that not all of them are significant, stepwise regression should be used.

(True/False)

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Question 53

is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval- scaled dependent variable.

(Multiple Choice)

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Question 54

The denotes the change in the predicted value, Y^{^}, per unit change in X₁when the other independent variables, X₂to X_k_,are held constant.

(Multiple Choice)

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Question 55

Which statement is not true about partial regression coefficients?

(Multiple Choice)

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Question 56

When considering nonmetric correlation, as a rule of thumb, is to be preferred when a large number of cases fall into a relatively small number of categories (thereby leading to a large number of ties).

(Multiple Choice)

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Question 57

The order associated with a partial correlation indicates how many variables are being adjusted or controlled.

(True/False)

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Question 58

Regression analysis is concerned with the nature and degree of association between variables and does not imply or assume any causality.

(True/False)

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Question 59

The term beta coefficient, or beta weight, is used to denote the standardized regression coefficient.

(True/False)

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Question 60

Showing 41 - 60 of 91

Exam 17: Correlation and Regression

When determining the statistical significance of the relationship between two variables measured by using r, the hypotheses to be tested are H0: q = 0 and H1:q × 0

Which statistic is associated only with multiple regression and not with bivariate regression?

The standard deviation of b, or the standard error, is denoted as .

The standard error of estimate, SEE, is the standard deviation of the actual Y values from the predicted Y^ values.

Which of the following is a measure of nonmetric correlation?

The purpose of stepwise regression is to select, from a large number of predictor variables, a small subset of variables that account for most of the variation in the dependent or criterion variable.

The partial correlation coefficient is a measure of the correlation between Y and X when the linear effects of the other independent variables have been removed from X but not from Y.

Which statement is not true about correlation matrices?

In multiple regression, if the overall null hypothesis is rejected, .

The equation for r is represented as _.

In bivariate regression, which statement is true concerning the coefficient of determination, r2?

When there are a large number of independent variables and the researcher suspects that not all of them are significant, stepwise regression should be used.

is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval- scaled dependent variable.

The denotes the change in the predicted value, Y^ , per unit change in X1 when the other independent variables, X2 to Xk, are held constant.

Which statement is not true about partial regression coefficients?

When considering nonmetric correlation, as a rule of thumb, is to be preferred when a large number of cases fall into a relatively small number of categories (thereby leading to a large number of ties).

The order associated with a partial correlation indicates how many variables are being adjusted or controlled.

Regression analysis is concerned with the nature and degree of association between variables and does not imply or assume any causality.

The term beta coefficient, or beta weight, is used to denote the standardized regression coefficient.

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When determining the statistical significance of the relationship between two variables measured by using r, the hypotheses to be tested are H₀: q = 0 and H₁:q × 0

The standard error of estimate, SEE, is the standard deviation of the actual Y values from the predicted Y^{^}values.

In bivariate regression, which statement is true concerning the coefficient of determination, r²?

The denotes the change in the predicted value, Y^{^}, per unit change in X₁when the other independent variables, X₂to X_k_,are held constant.