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1 | |
In a multiple regression equation there |
| | A) | Are two or more independent variables. |
| | B) | Is only one dependent variable. |
| | C) | Is one intercept value. |
| | D) | All of the above. |
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2 | |
A dummy variable |
| | A) | May assume only a value of 0 or 1. |
| | B) | Is another term for the dependent variable. |
| | C) | Is found by (Y – Y'). |
| | D) | Is equal to Y' |
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3 | |
The multiple standard error of estimate is |
| | A) | Based on the (Y – Y')2. |
| | B) | Negative when one of the net regression coefficients is 0. |
| | C) | Found by taking the square root of SSR/SS total. |
| | D) | All of the above. |
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4 | |
In the ANOVA table the value of k is |
| | A) | The number of independent variables. |
| | B) | The total number of observations. |
| | C) | The number of degrees of freedom. |
| | D) | The sum of squares total. |
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5 | |
A correlation matrix |
| | A) | Shows all simple coefficients of correlation. |
| | B) | Shows all possible net regression coefficients. |
| | C) | Shows the correlations that are positive. |
| | D) | Reports the multiple regression equation. |
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6 | |
In a multiple regression equation |
| | A) | There is only one dependent variable. |
| | B) | The R2 term must be at least .50. |
| | C) | All of the regression coefficients must be between –1.00 and 1.00. |
| | D) | None of the above. |
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7 | |
Multicollinearity occurs when |
| | 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. |
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8 | |
In a global test of hypothesis we determine |
| | A) | Which independent variables do not equal 0. |
| | B) | Whether any of the set of independent variables differ from 0. |
| | C) | Whether any of the correlation coefficients differ from 0. |
| | D) | None of the above. |
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9 | |
In testing the significance of individual regression coefficients |
| | A) | The test statistic is the t distribution. |
| | B) | We test the independent variables individually. |
| | C) | We usually delete the variables where the null hypothesis is not rejected. |
| | D) | All of the above. |
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10 | |
The residual |
| | A) | Is the difference between the actual and the predicted value of the dependent variable |
| | B) | Cannot assume a negative value. |
| | C) | Is also called the correlation matrix. |
| | D) | Has the same degrees of freedom as the MSE term. |
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11 | |
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How large was the sample in this study? |
| | A) | 2 |
| | B) | 5 |
| | C) | 7 |
| | D) | 8 |
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12 | |
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How many independent variables were considered? |
| | A) | 2 |
| | B) | 5 |
| | C) | 1 |
| | D) | 3 |
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13 | |
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Determine the coefficient of determination. |
| | A) | .413 |
| | B) | 28.38% |
| | C) | .645 |
| | D) | .919 |
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14 | |
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What is the computed value of F for the global test and what should you conclude? |
| | A) | F is 28.38, which means some of the regression coefficients do not equal 0. |
| | B) | F is .002, which means all the independent variables are 0. |
| | C) | F is 7.43, which means all the regression coefficients are 0. |
| | D) | None of the above. |
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15 | |
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Which of the following independent variables should be dropped from the regression equation? |
| | A) | X1 |
| | B) | X2 |
| | C) | Neither |
| | D) | Both |
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