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Multiple Choice Quiz
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In a multiple regression equation, there are:
A)two or more dependent variables.
B)two or more independent variables.
C)two or more intercept values.
D)multiple coefficients of determination.
In regression analysis, a dummy variable or indicator variable:
A)may assume only a value of 0 or 1.
B)is another term for the dependent variable.
C)is found by (Y – Ŷ).
D)is equal to Ŷ.
The multiple standard error of estimate is:
A)found by taking the square root of SSR/SS total.
B)negative when one of the net regression coefficients is 0.
C)based on the term, (Y – Ŷ) 2.
D)the error of estimating the regression coefficients.
In the ANOVA table for a multiple regression analysis, the value of k is the:
A)regression sum of squares.
B)total number of observations.
C)total degrees of freedom.
D)regression degrees of freedom.
A correlation matrix shows the following:
A)all simple correlation coefficients.
B)all possible net regression coefficients.
C)only positive correlation coefficients.
D)the multiple regression equation.
Which of the following statements is true for a multiple regression equation?
A)There is only one dependent variable.
B)The R2 term must be at least .50.
C)All the regression coefficients must be between -1.00 and 1.00.
D)There is only one (Y – Ŷ).
Multicollinearity occurs when the following condition exists:
A)the residuals are correlated.
B)time is involved in the analysis.
C)the independent variables are correlated.
D)the residuals are not constant for all Ŷ values.
For a multiple regression analysis, the global hypothesis test determines:
A)which regression coefficients do not equal 0.
B)whether any of the regression coefficients differ from 0.
C)whether any of the correlation coefficients differ from 0.
D)whether the intercept differs from 0.
To test the significance of individual regression coefficients:
A)we use a t statistic.
B)we test for differences between each pair of regression coefficients.
C)we usually delete the variables where the null hypothesis is rejected.
D)regression coefficients with a negative coefficient are deleted from the equation.
A residual is:
A)equal to the mean square error.
B)always positive.
C)summarized in a correlation matrix.
D)equal to the difference between the actual and the predicted values of a dependent variable.
The multiple coefficient of determination equals:
A)the percent of the variation in the dependent variable explained by the independent variables.
B)values in the range from -1.00 up to 1.00.
C)the ratio of the SSE to the SS total.
D)equal to the interaction mean square.
The adjusted coefficient of determination equals:
A)the ratio of SSR to SS total.
B)values in the range from -1.00 up to 1.00.
C)the ratio of the SSE to the SS Total.
D)the ratio of SSR to SS Total, corrected for the number of independent variables in a regression equation.
Stepwise regression is a method to:
A)eliminate insignificant variables from a multiple regression equation.
B)select the best regression equation with a single independent variable.
C)increase the total sum of squares.
D)select independent variables to include in a multiple regression equation that increase the multiple coefficient of determination the most.

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