edit this paper and make sure this is answered and clear: A generic formula of y=β0+β1x is provided in the paper. A linear equation specific to this linear regression analysis and explanation for its purpose could not be found.
The work recommends tailoring the wellbeing program, increased incentives, and decreasing recruitment and training costs. What could not be found was a logical recommendation that aligns with the results of the linear regression analysis.
here is the assignment for clarity: A.  Describe a business question that could be answered by applying linear regression analysis and is derived from the scenario in the attached “Linear Regression Analysis Resources.”
 
B.  Describe the data provided in the attached “Linear Regression Analysis Resources” by doing the following:
1.  Describe the relevant data characteristics for your linear regression analysis, including each of the following:
•   the independent variable(s)
•   the dependent variable
•   type of data 
•   quantity of data
2.  Create a graphical display of the data using a scatter plot or line chart, including each of the following:
•   chart title
•   legend
•   axis titles
•   data intervals
 
Note: This display should be a summary or representation of the data provided, not raw data.
 
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.
 
Note: Your recommendation should focus on the results of your analytic technique output from part C1.
 
E.  Acknowledge sources, using in-text citations and references, for content that is quoted, paraphrased, or summarized.
 
F.  Demonstrate professional communication in the content and presentation of your submission.