
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Concept explainers
Question
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?
![OLS Regression Results
Dep. Variable:
Model:
total_wins
R-squared:
Adj. R-squared:
0.837
OLS
0.837
Least Squares
Sat, 27 Feb 2021
Method:
F-statistic:
1580.
Prob (F-statistic):
Log-Likelihood:
AIC:
Date:
4.41e-243
Time:
18:17:53
-1904.6
No. Observations:
618
3815.
Df Residuals:
615
BIC:
3829.
Df Model:
2
Covariance Type:
nonrobust
coef
std err
P>|t|
[0.025
0.975]
Intercept
avg_pts
avg_elo_n
-152.5736
4.500
-33.903
0.000
-161.411
-143.736
0.3497
0.048
7.297
Θ. 000
0.256
0.444
0.1055
Θ. 002
47.952
0.000
0.101
0.110
Omnibus:
89.087
Durbin-Watson:
1.203
Prob(Omnibus):
Θ. 000
Jarque-Bera (JB):
Prob(JB):
Cond. No.
160.540
Skew:
-0.869
1.38e-35
Kurtosis:
4.793
3.19e+04](https://content.bartleby.com/qna-images/question/a04351ea-a0da-4310-b4a2-31804867261c/588f6d10-f19a-4a04-acdb-7b2f0b67774c/unskoi8_thumbnail.png)
Transcribed Image Text:OLS Regression Results
Dep. Variable:
Model:
total_wins
R-squared:
Adj. R-squared:
0.837
OLS
0.837
Least Squares
Sat, 27 Feb 2021
Method:
F-statistic:
1580.
Prob (F-statistic):
Log-Likelihood:
AIC:
Date:
4.41e-243
Time:
18:17:53
-1904.6
No. Observations:
618
3815.
Df Residuals:
615
BIC:
3829.
Df Model:
2
Covariance Type:
nonrobust
coef
std err
P>|t|
[0.025
0.975]
Intercept
avg_pts
avg_elo_n
-152.5736
4.500
-33.903
0.000
-161.411
-143.736
0.3497
0.048
7.297
Θ. 000
0.256
0.444
0.1055
Θ. 002
47.952
0.000
0.101
0.110
Omnibus:
89.087
Durbin-Watson:
1.203
Prob(Omnibus):
Θ. 000
Jarque-Bera (JB):
Prob(JB):
Cond. No.
160.540
Skew:
-0.869
1.38e-35
Kurtosis:
4.793
3.19e+04
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