C. Report how
you analyzed the data using linear regression by doing the following:
1. Provide the
output and calculations of the linear regression analysis you performed.
Note: You may
submit the analysis output and calculations using a separate spreadsheet
attachment or the optional template in the attached “Linear Regression Analysis
Resources.”
Note: The output should include the
output from the software you used to perform the analysis. Refer to “Prepare
for the Performance Assessment Task 1” in the course of study to see examples
of acceptable output.
2. Justify why
linear regression is the appropriate analysis technique for predicting the
dependent variable, including relevant details from the scenario to support
your justification.
D. Describe
the implications of your data analysis from the scenario by doing the
following:
1. State the
null hypothesis for this linear regression analysis.
2. Interpret
the results of the data analysis by doing the following:
a. Discuss the
goodness of fit with the supporting test statistic from your linear regression
analysis output.
b. Discuss the
significance of the independent variable(s) with support from your linear
regression analysis results.
c. Create the
linear equation and explain its purpose using your analysis results.
3. Discuss a
limitation of the research that could affect a recommended course of action.
4. Recommend a
course of action that aligns with your linear regression analysis results.
