OLS Regression Results ============================================================================== Dep. Variable: total_wins R-squared: 0.228 Model: OLS Adj. R-squared: 0.227 Method: Least Squares F-statistic: 182.1 Date: Fri, 21 Feb 2020 Prob (F-statistic): 1.52e-36 Time: 17:59:30 Log-Likelihood: -2385.4 No. Observations: 618 AIC: 4775. Df Residuals: 616 BIC: 4784. Df Model: 1 Covariance Type: nonrobust ============================================================================== coef std err t P>|t| [0.025 0.975] ------------------------------------------------------------------------------ Intercept -85.5476 9.305 -9.194 0.000 -103.820 -67.275 avg_pts 1.2849 0.095 13.495 0.000 1.098 1.472 ============================================================================== Omnibus: 24.401 Durbin-Watson: 1.768 Prob(Omnibus): 0.000 Jarque-Bera (JB): 11.089 Skew: -0.033 Prob(JB): 0.00391 Kurtosis: 2.347 Cond. No. 1.97e+03 ============================================================================== 

• What are the results of the overall F-test? Summarize all important steps of this hypothesis test. This includes:

1. Null Hypothesis (statistical notation and its description in words)
2. Alternative Hypothesis (statistical notation and its description in words)
3. Level of Significance
4. Report the test statistic and the P-value in a formatted table as shown below:

Table 1: 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.