Statistics for Nursing Research

statistics

Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition

Exercise 29: Calculating Simple Linear Regression

Questions to Be Graded

The following questions refer to the section called “Data for Additional Computational Practice” in Exercise 29 of Grove & Cipher, 2017.

1.     If you have access to SPSS, compute the Shapiro-Wilk test of normality for the variable age (as demonstrated in Exercise 26). If you do not have access to SPSS, plot the frequency distributions by hand. What do the results indicate?

A.   The distribution significantly deviated from normality.

B.    The distribution did not significant from normality.

Answer: Choose an item.

2.     State the null hypothesis where age at enrollment is used to predict the time for completion of an RN to BSN program.

A.   Age at enrollment predicts the number of months until completion of an RN to BSN program.

B.    Age at enrollment does not predict the number of months until completion of an RN to BSN program.

Answer: Choose an item.

3.     What is b as computed by hand (or using SPSS)?

A.   0.027

B.    0.037

C.    0.047

D.   0.057

Answer: Choose an item.

4.     What is a as computed by hand (or using SPSS)?

A.   10.76

B.    11.76

C.    12.76

D.   13.76

Answer: Choose an item.

5.     Write the new regression equation.

A.     ŷ = 0.027x + 10.76

B.    ŷ = 0.037x + 10.76

C.    ŷ = 0.047x + 11.76

D.   ŷ = 0.057x + 11.76

Answer: Choose an item.

6.     How would you characterize the magnitude of the obtained R2 value? Provide a rationale for your answer.

A.   R2 value is very low.

B.    R2 value is very high.

Answer: Choose an item.

7.     How much variance in months to RN to BSN program completion is explained by knowing the student’s enrollment age?

A.   1.2%

B.    2.4%

C.    12%

D.   24%

Answer: Choose an item.

8.     What was the correlation between the actual y values and the predicted y values using the new regression equation in the example?

A.   0.11

B.    0.155

C.    0.346

D.   0.49

Answer: Choose an item.

9.     Write your interpretation of the results as you would in an APA-formatted journal.

Enter your answer here and select the “Completed” choice in the dropdown menu. If more space is needed, please hit the Enter key from your computer.

Answer:   Choose an item.

10.  Given the results of your analyses, would you use the calculated regression equation to predict future students’ program completion time by using enrollment age as x? Provide a rationale for your answer.

A.   Student age (x) did significantly predict months to completion (y). Therefore, the equa­tion will accurately predict future values of y.

B.    Student age (x) did not significantly predict months to completion (y). Therefore, the equa­tion will not accurately predict future values of y.

Answer: Choose an item.

 

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