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To develop your project report (to be submitted for grade in hard copy) follow the steps below.
Create an introductory “scenario” of just two to three sentences that describes the data file for your project and why you (the ?????? Corporation/Group) are building a regression model to predict based on the set of possible independent variables
As you learned in class in Week 2, first develop a simple linear regression model using one of the above predictors of .
Cut and paste into your report the scatter plot and the Minitab Express printout for this simple linear regression model.
Write the sample regression equation.
Interpret the meaning of the intercept and slope for your fitted model.
Interpret the meaning of the coefficient of determination .
Interpret the meaning of the standard error of the estimate .
Obtain the residual plots and cut and paste them into the report. Briefly comment on the appropriateness of your fitted model.
If the assumptions are met and the fitted model is appropriate continue to Step 2G.
If the linearity or normality assumptions are problematic state this but continue to Step 2G with caution. You do not need to check the assumption of independence in your project – that assumption is met.
If the equality of variance assumption appears to be seriously violated contact me.
Comment on the statistical significance of your fitted model. (Note: Every team should have a fitted model that is statistically significant so contact me immediately if this is not so).
Select a value for your independent variable in its relevant range:
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