40 statistics questions
Greatdanelover
Ch30Questions.pdf
Exercise 30: Calculating Multiple Linear Regression
Questions to Be Graded
Name:
Class:
Date: 08-08-2020
Answer the following questions with hand calculations using the data presented in Table 30-2 or the SPSS data set called “Exercise 30 Example 2.sav” available on the Evolve website.
1: Write the newly computed regression equation, predicting months to RN to BSN program completion.
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2: Why have the values in the equation changed slightly from the first analysis?
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3: Using SPSS, create the scatterplot of predicted values and residuals that assists us in identifying heteroscedasticity. Do the data meet the homoscedasticity assumption? Provide a rationale for your answer.
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4: Using the new regression equation, compute the predicted months to RN to BSN program completion if a student’s number of degrees is 1 and is enrolled in the online program. Show your calculations.
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5: Using the new regression equation, compute the predicted months to RN to BSN program completion if a student’s number of degrees is 2 and is enrolled in the in-seat program. Show your calculations.
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6: What was the correlation between the actual y values and the predicted y values using the new regression equation in the example?
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7: Which predictor has the strongest association with y? Provide a rationale for your answer.
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8: How much variance in months to completion is explained by the two model predictors?
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9: Write your interpretation of the results as you would in an APA-formatted journal.
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10: Given the results of your analyses, would you use the calculated regression equation to predict future students’ RN to BSN program completion time by using program type and number of degrees as the predictors?
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- s_name: Amanda
- sclass: Stats
