40 statistics questions
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Ch15Questions.pdf
Exercise 15: Understanding Multiple Linear Regression
Questions to Be Graded
Name:
Class:
Date: 08-08-2020
1: What are the assumptions for multiple linear regression?
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2: Was multiple regression analysis the appropriate analysis technique to conduct in the Franck et al. (2014) study? Provide a rationale for your answer.
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3: Was the independent variable length of hospital stay significantly correlated with the dependent variable parental PTSS? Provide a rationale for your answer.
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4: Was the independent variable depression significantly correlated with parental PTSS in this study? Provide a rationale for your answer.
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5: What is multicollinearity? Why is it important to test for multicollinearity? Is there a potential for multicollinearity in this study?
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6: According to the study narrative and Table 4, “5 out of 8 predictors were uniquely and significantly associated with PTSS” (Franck et al., 2014, p. 6). What five predictors were significantly associated with PTSS in the regression model? Provide a rationale for your answer.
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7: What was the percentage of variance of parental PTSS explained by the regression analysis of the independent variables parent coping strategies (negative coping and optimism) at 3 months after discharge entered in step 2 of the regression analysis? Provide your calculations.
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8: What was the percentage of variance for parental PTSS explained by the regression analysis for parent distress during hospitalization (anxiety, depression, and uncertainty) entered in step 3 of the regression analysis? Provide your calculations.
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9: What was the percentage of variance for parental PTSS during hospitalization explained by the full regression model? Discuss the meaning of these results.
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10: What additional research is needed in this area of parental PTSS after their child’s hospitalization? Provide a rationale for your answer.
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- s_name: Amanda
- sclass: Stats
