Mathematics
HLT362V GCU WeeK 5 Correlation Coefficient and Linear Regression Paper

HLT362V

Grand Canyon University

### 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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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
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.
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.
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

Sig.

3.326

.004

.459

.651

29-2

B. 0.037
C. 0.047
D. 0.057
4. What is a as computed by hand (or using SPSS)?
A. 10.76
B. 11.76
C. 12.76
D. 13.76
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
6. How would you characterize the magnitude of the obtained R2 value? Provide a
A. R2 value is very low.
B. R2 value is very high.
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...

Selenica (1623)
New York University
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