Regression analysis using BENEFITS column
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Using Excel as your processing tool, work through three simple regression analyses.
1.First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?
2.Next, run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the EXTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?
3. Next, run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the OVERALL job satisfaction column of all data points in the AIU data set as the dependent variable. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?
4.Finally, make very specific comments and give reasons regarding any similarities or differences in the output results. Which regression produces the strongest correlation coefficient result? Why?
Be sure to provide references in APA format for any resources you may use.
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Solution Summary
A regression analysis on job benefits and intrinsic job satisfaction is analyzed. A graph is created to determine the trend. The R square of the data's trendline is given.
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Regression analysis
Using Excel as your processing tool, work through three simple regression analyses.
1.First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?
Solution:
Scatter plot representing Intrinsic and Benefits
Regression Analysis
r² 0.004 n 25
r -0.061 k 1
Std. Error 1.119 Dep. Var. INTRINSIC
ANOVA table
Source SS df MS F p-value
Regression 0.1088 1 0.1088 0.09 .7707
Residual 28.7816 23 1.2514
Total 28.8904 24
Regression output confidence interval
variables coefficients std. error t (df=23) p-value 95% lower 95% ...
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