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a. Exercise and administering medication A improves anxiety seen post myocardial

ID: 3296634 • Letter: A

Question

a. Exercise and administering medication A improves anxiety seen post myocardial infarction b. Exercise significantly improves anxiety seen post myocardial infarction 27% of the time c. Exercise and administering medication A explain 27% of the variance seen in anxiety post myocardial infarction d. Exercise and administering medication A decrease anxiety seen post myocardial infarction by 27% When studying the relationship between ankle-brachial blood pressure index and peripheral vascular disease the researchers have a significant R square. They then add a second independent variable of a pain scale. The R square in the model that includes both independent variables is significant but the R square change is not. You know this means: Select one: a. The R square change only matters with the first variable b. The second variable added may not be significant and should be examined further c. Because the model is significant both variables should be included d. Having both variables in the model explains significantly more variation in peripheral vascular disease In a regression model, to determine the expected impact a change in the independent variable will have in the value of the dependent variable in a regression model the value to report is: Select one: a. The constant plus the error term

Explanation / Answer

The correct answer is b. The second variable added may not be significant and should be examined further.

Explanation - R square = SSR/SST = (SST - SSE)/ SST
SST is constant for both the models. When a new variable is added, R - square remains same implies that SSE is same for both the models. So there was no reduction in SSE after addition of the second variable and it is not significant.

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