Based on the results of the overall F-test, is at least one of the predictors statistically significant in predicting the number of wins in the season?

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Based on the results of the overall F-test, is at least one of the predictors statistically significant in predicting the number of wins in the season? 

 

 

OLS Regression Results
Dep. Variable:
Model:
R-squared:
Adj. R-squared:
F-statistic:
total_wins
0.876
OLS
0.876
Method:
Least Squares
1449.
Prob (F-statistic):
Log-Likelihood:
Date:
Mon, 01 Mar 2021
5.03e-278
Time:
04:07:29
-1819.8
No. Observations:
Df Residuals:
618
AIC:
3648.
614
BIC:
3665.
Df Model:
3
Covariance Type:
nonrobust
coef
std err
P>|t|
[0.025
0.975]
9.252
Intercept
avg_pts
avg_elo_n
avg_pts_differential
-35.8921
-3.879
0.000
-54.062
-17.723
0.2406
0.043
5.657
0.000
0.157
0.324
0.0348
Θ.005
6.421
0.000
0.024
0.045
1.7621
0.127
13.928
0.000
1.514
2.011
Omnibus:
181.805
Durbin-Watson:
0.975
Jarque-Bera (JB):
Prob(JB):
Prob(Omnibus):
Θ.000
506.551
Skew:
-1.452
1.01e-110
Kurtosis:
6.352
Cond. No.
7.51e+04
==
=======
Transcribed Image Text:OLS Regression Results Dep. Variable: Model: R-squared: Adj. R-squared: F-statistic: total_wins 0.876 OLS 0.876 Method: Least Squares 1449. Prob (F-statistic): Log-Likelihood: Date: Mon, 01 Mar 2021 5.03e-278 Time: 04:07:29 -1819.8 No. Observations: Df Residuals: 618 AIC: 3648. 614 BIC: 3665. Df Model: 3 Covariance Type: nonrobust coef std err P>|t| [0.025 0.975] 9.252 Intercept avg_pts avg_elo_n avg_pts_differential -35.8921 -3.879 0.000 -54.062 -17.723 0.2406 0.043 5.657 0.000 0.157 0.324 0.0348 Θ.005 6.421 0.000 0.024 0.045 1.7621 0.127 13.928 0.000 1.514 2.011 Omnibus: 181.805 Durbin-Watson: 0.975 Jarque-Bera (JB): Prob(JB): Prob(Omnibus): Θ.000 506.551 Skew: -1.452 1.01e-110 Kurtosis: 6.352 Cond. No. 7.51e+04 == =======
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