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(4) Determine a method that would be appropriate for answering this research question. Using StatCrunch and the available data, perform the statistical procedure deemed appropriate.

(4) Determine a method that would be appropriate for answering this research question. Using StatCrunch and the available data, perform the statistical procedure deemed appropriate.

(i) What method did you use? e.g., One-Sample t-Test for Means?

(iii) How do you interpret the relevant findings of your analysis in the context of the research question.

*What is the one 'best' linear model that helped you to predict the number of overall/total season wins?

**What was the overall model p-value? What does this indicate about the 'best' linear model?

***What was the overall Adjusted R2 value? What does this indicate about the 'best' linear model?

****What process is being used in selecting the 'best' linear model among all possible linear models. How did determine this linear model was the 'best'?

(iv) Any potential limitations to the current analysis.

Is anyone available to Help me with this question please, Im attached the link below

C:\Users\hhayes\Downloads\Applied-CollegeBasketball-SouthWest.csv

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