### Question Description

1. Submit work in SPSS by copying the output and pasting into the Word document.

2. In addition to the SPSS output, please include explanations of the results where appropriate.

Exercise 14 and 19

Exercise 21 and 35

(Calculate and interpret the correlation coefficient, Calculate and interpret a linear regression line,Calculate and interpret the chi-square test of independence).

** **

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## Final Answer

Hi again dejesus,Attached please find the Word documents containing the correct answers (highlighted) with complete solutions and SPSS output where required.Thanks again!Selenica

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.

Tests of Normality

Kolmogorov-Smirnova

Statistic

df

Shapiro-Wilk

Sig.

Statistic

age

.140

20

.200*

monthscompletion

.159

20

.200*

df

Sig.

.949

20

.357

.931

20

.160

*. This is a lower bound of the true significance.

a. Lilliefors Significance Correction

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.

Coefficientsa

Standardized

Unstandardized Coefficients

Model

1

B

(Constant)

age

Std. Error

11.763

3.536

.047

.102

Coefficients

Beta

t

.108

a. Dependent Variable: monthscompletion

b = 0.047

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

A. 0.027

Copyright © 2017, Elsevier Inc. All rights reserved.

Sig.

3.326

.004

.459

.651

Questions to Be Graded

29-2

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.

The r-squared value is 0.012, which is very low. The r-squared value is meant to

explain the amount of variance in the dependent variable explained by the

independent variable. In this case, only 1.2% of variance in the y-variable is

explained by the independent variable.

7. How much variance in months to RN to BSN pro...

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