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In a multiple regression equation there are
A)Two or more dependent variable.
B)Two or more independent variables.
C)Two or more intercept values.
D)Multiple coefficients of determination
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 <a onClick="'/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0073401765/663702/C14_img1.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (2.0K)</a>.
D)Is equal to <a onClick="'/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0073401765/663705/c13_o_img2.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>
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 <a onClick="'/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0073401765/663702/C14_img2.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (2.0K)</a>.
D)The same as the variance of a normal distribution.
In the ANOVA table, the value of k is the
A)Sum of squares total.
B)Total number of observations
C)Number of degrees of freedom.
D)Number of independent variables.
A correlation matrix shows the following:
A)All simple coefficients of correlation.
B)All possible net regression coefficients.
C)Correlations that are positive.
D)The multiple regression equation.
The following statement 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 coefficient must be between -1.00 and 1.00.
D)There is only one (Y — Ÿ).
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 Y' values.
For a multiple regression analysis, the global hypothesis test determines
A)Which independent variables do not equal 0.
B)Whether any of independent variables differ from 0.
C)Whether any of the correlation coefficients differ from 0.
D)Whether the intercept differs from 0.
In testing the significance of individual regression coefficients
A)The test statistic is the t distribution.
B)We test the independent variables in pairs.
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
A)Has the same degrees of freedom as the MSE term.
B)Cannot assume a negative value.
C)Is also called the correlation matrix.
D)Is the difference between the actual and the predicted value of the dependent variable.

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