Dep. Variable: total_wins R-squared : Adj. R-squared: F-statistic: 0.228 Model: OLS Least Squares Sat, 27 Feb 2021 0.227 Method: 182.1 1.52e-36 Prob (F-statistic): Log-Likelihood: AIC: Date: Time: 18:10:54 -2385.4 No. Observations: 618 4775. Df Residuals: 616 BIC: 4784. Df Model: Covariance Type: nonrobust coef std err t P>|t| [0.025 0.975] Intercept avg_pts -85.5476 9.305 -9.194 0.000 -103.820 -67.275 1.2849 0.095 13.495 0.000 1.098 1.472 Omnibus: 24.401 0.000 Durbin-Watson: 1.768 Prob(Omnibus): Skew: Jarque-Bera (JB): Prob(JB): Cond. No. 11.089 -0.033 0.00391 Kurtosis: 2.347 1.97e+03

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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I just need help finding the test statistic and p-value in this image.

Dep. Variable:
total_wins
R-squared:
Adj. R-squared:
F-statistic:
0.228
Model:
OLS
0.227
Method:
Least Squares
Sat, 27 Feb 2021
182.1
Prob (F-statistic):
Log-Likelihood:
Date:
1.52e-36
Time:
18:10:54
-2385.4
No. Observations:
618
AIC:
4775.
Df Residuals:
616
BIC:
4784.
Df Model:
1
Covariance Type:
nonrobust
coef
std err
P>|t|
[0.025
0.975]
Intercept
avg_pts
-85.5476
9.305
-9.194
0.000
-103.820
-67.275
1.2849
0.095
13.495
0.000
1.098
1.472
Omnibus:
24.401
Durbin-Watson:
1.768
Prob(Omnibus):
Jarque-Bera (JB):
Prob(JB):
0.000
11.089
Skew:
-0.033
0.00391
Kurtosis:
2.347
Cond. No.
1.97e+03
Transcribed Image Text:Dep. Variable: total_wins R-squared: Adj. R-squared: F-statistic: 0.228 Model: OLS 0.227 Method: Least Squares Sat, 27 Feb 2021 182.1 Prob (F-statistic): Log-Likelihood: Date: 1.52e-36 Time: 18:10:54 -2385.4 No. Observations: 618 AIC: 4775. Df Residuals: 616 BIC: 4784. Df Model: 1 Covariance Type: nonrobust coef std err P>|t| [0.025 0.975] Intercept avg_pts -85.5476 9.305 -9.194 0.000 -103.820 -67.275 1.2849 0.095 13.495 0.000 1.098 1.472 Omnibus: 24.401 Durbin-Watson: 1.768 Prob(Omnibus): Jarque-Bera (JB): Prob(JB): 0.000 11.089 Skew: -0.033 0.00391 Kurtosis: 2.347 Cond. No. 1.97e+03
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