Linear Regression and Multiple Correlation in Statistics MCQs
Linear Regression and Multiple Correlation in Statistics MCQs
These Linear Regression and Multiple Correlation in Statistics multiple-choice questions and their answers will help you strengthen your grip on the subject of Linear Regression and Multiple Correlation in Statistics. You can prepare for an upcoming exam or job interview with these 20+ Linear Regression and Multiple Correlation in Statistics MCQs.
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1: ____ is the use of a relationship between two or more correlated variables to predict values of one variable from values of other variables.
A. Correlation
B. Regression
C. Statistics
D. All of these
2: Linear regression is Statistical procedure in which a straight line is fitted to a set of data to best represent the relationship between ____ variables.
A. One
B. Two
C. Zero
D. Three
3: Mathematical equation that predicts ____ variable from another variable is linear regression equation
A. One
B. Two
C. Zero
D. Three
4: Family of statistical procedures assessing the relationship between two or more predictor variables and a criterion variable is known as
A. Single correlation
B. Multiple correlation
C. Correlation matrix
D. Correlation coefficient
5: Table of Pearson correlations between variables is called
A. Single correlation
B. Multiple correlation
C. Correlation matrix
D. Correlation coefficient
6: Statistic measuring the relationship between two or more predictor variables and a criterion variable is multiple correlation coefficient
A. True
B. False
7: Mathematical equation predicting a criterion variable from two or more predictor variables is multiple regression equation
A. True
B. False
8: Constant representing the rate of change in a criterion Variable ____ associated with changes in a predictor variable is regression coefficient
A. X
B. Y
C. Z
D. A
9: When we use the relationship between two or more correlated variables to predict values of one variable from values of other variables, this is referred to as ______.
A. Correlation
B. Regression
C. A linear relationship
D. A nonlinear relationship
10: In the equation Y' = a + bX, the a represents ______.
A. The Y-intercept
B. The slope
C. The mean of one of the variables
D. The value for r
11: Using high school GPA and extracurricular participation to predict college success is an example of ______.
A. Regression
B. A linear relationship
C. Multiple correlation with two predictors
D. Multiple correlation with one predictor
12: The stronger the relationship between the two variables, ______.
A. The greater the slope
B. The lesser the slope
C. The slope is always positive
D. The slope is always negative
13: Multiple correlation ______.
A. Is less complicated that the Pearson correlation
B. Is more efficient than the Pearson correlation
C. Provides multiple statistics
D. Does not take into account the relationship among predictors
14: When no relationship is found between two variables, a linear regression equation cannot be created.
A. True
B. False
15: It is not possible to determine whether a multiple correlation R is statistically significant.
A. True
B. False
16: When there is no relationship between two variables, the most accurate prediction we can make, regardless of the score on one variable, is ______.
A. The mean of the other variable
B. The square of the other variable
C. Equal to the slope
D. The regression
17: A Venn diagram ______.
A. Can be used to display a linear relationship
B. Can be used as a visual representation of the relationships between three variables
C. Cannot be used in correlational research
D. Can be used to reinforce the null hypothesis
18: In linear regression, the Y-intercept a is the predicted value for the Y variable when X is equal to zero.
A. True
B. False
19: Regression involves making predictions when there is no correlation.
A. True
B. False
20: In the equation Y' = a + bX, the Y' represents ______.
A. The actual value for Y
B. The predicted value for Y
C. That the predicted value is based on a negative relationship
D. That the predicted value is based on a nonlinear relationship
21: In the equation Y' = a + bX, the b represents ______.
A. The value for r2
B. The Y-intercept
C. The slope
D. The mean of the variables
22: The formula for the multiple correlation coefficient varies depending on the number of predictors in the analysis.
A. True
B. False
23: The multiple correlation coefficient, represented by R, measures the relationship between ______.
A. A predictor variable and a criterion variable
B. Df and r
C. Two predictor variables and two criterion variables
D. Two or more predictor variables and a criterion variable
24: A correlation analysis requires that the data be either ________ data or _______ data.
A. Ordinal, interval
B. Interval, ratio
C. Nominal, interval
D. Nominal, ratio
Linear Regression and Multiple Correlation in Statistics MCQs
