OLS Regression Results ============================================================================== Dep. Variable: total_wins R-squared: 0.837 Model: OLS Adj. R-squared: 0.837 Method: Least Squares
Question:
OLS Regression Results ============================================================================== Dep. Variable: total_wins R-squared: 0.837 Model: OLS Adj. R-squared: 0.837 Method: Least Squares F-statistic: 1580. Date: Wed, 15 Feb 2023 Prob (F-statistic): 4.41e-243 Time: 23:21:32 Log-Likelihood: -1904.6 No. Observations: 618 AIC: 3815. Df Residuals: 615 BIC: 3829. Df Model: 2 Covariance Type: nonrobust ============================================================================== coef std err t P>|t| [0.025 0.975] ------------------------------------------------------------------------------ Intercept -152.5736 4.500 -33.903 0.000 -161.411 -143.736 avg_pts 0.3497 0.048 7.297 0.000 0.256 0.444 avg_elo_n 0.1055 0.002 47.952 0.000 0.101 0.110 ============================================================================== Omnibus: 89.087 Durbin-Watson: 1.203 Prob(Omnibus): 0.000 Jarque-Bera (JB): 160.540 Skew: -0.869 Prob(JB): 1.38e-35 Kurtosis: 4.793 Cond. No. 3.19e+04 ========================================================
In general, how is a multiple linear regression model used to predict the response variable using predictor variables?
What is the equation for your model?
What are the results of the overall F-test? Summarize all important steps of this hypothesis test. This includes:
Null Hypothesis (statistical notation and its description in words)
Alternative Hypothesis (statistical notation and its description in words)
Level of Significance
Report the test statistic and the P-value in a formatted table as shown below:
Table 2: Hypothesis Test for the Overall F-Test
Statistic | Value |
Test Statistic | X.XX *Round off to 2 decimal places. |
P-value | X.XXXX *Round off to 4 decimal places. |
Conclusion of the hypothesis test and its interpretation based on the P-value
Based on the results of the overall F-test, is at least one of the predictors statistically significant in predicting the total number of wins in the season?
What are the results of individual t-tests for the parameters of each predictor variable? Is each of the predictor variables statistically significant based on its P-value? Use a 1% level of significance.
Report and interpret the coefficient of determination.
What is the predicted total number of wins in a regular season for a team that is averaging 75 points per game with a relative skill level of 1350?
What is the predicted total number of wins in a regular season for a team that is averaging 100 points per game with an average relative skill level of 1600?