Normal Probability Plot 100 WinPCT 50 0 0 20 100 120 40 60 80 Sample Percentile Residual Plot 30 25 20 15 . 10 Residuals
Posted: Wed May 11, 2022 1:51 pm
- Normal Probability Plot 100 Winpct 50 0 0 20 100 120 40 60 80 Sample Percentile Residual Plot 30 25 20 15 10 Residuals 1 (217.17 KiB) Viewed 23 times
2021 NFL Season Stats .xlsx
links above are where I pulled the data from
Normal Probability Plot 100 WinPCT 50 0 0 20 100 120 40 60 80 Sample Percentile Residual Plot 30 25 20 15 . 10 Residuals 5 0 -50 10 20 30 60 70 So 90 40.50 . . -10 . . -15 -20 Predicted Values Intercept OFF_TD DEFYRDS Coefficients 94.144136 1.277675464 -10.92016619 Standard Error t Stat P-value Lower 95%Upper 95%Lower 95.0% Upper 95.0% 27.55609885 3.416454 0.001897 37.78559 150.5027 37.7855858 150.5026862 0.217957058 5.862051 2.33E-06 0.831903 1.723448 0.83190323 1.723447699 3.582628746 -3.04809 0.004876 -18.2475 -3.59287 -18.247465 -3.592867682 SUMMARY OUTPUT Regression Statistics Multiple R 0.81436831 R Square 0.663195744 Adjusted R Square 0.639967864 Standard Error 10.10239529 Observations 32 ANOVA df Significance F 1.40273E-07 2 Regression Residual Total SS MS F 5827.883646 2913.942 28.55171 2959.693326 102.0584 8787.576972 29 31
Describe the coefficient of at least one variable while the other variable(s) are in the model. Hint: This is a change in y with a change in x. Include a plot of the residuals for your model. Determine whether the assumptions for regression have been satisfied. At the end... Provide an appendix with the ANOVA ( at the top just move it down) table and Regression Output (also at the top) (table with coefficients and p-values for model) • Logistics - Include a Title page. Check spelling and grammar. Include neat plots