OLS Regression Results
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Dep. Variable: Calorie_Burnage R-squared: 0.000
Model: OLS Adj. R-squared: -0.006
Method: Least Squares F-statistic: 0.04975
Date: Tue, 24 Nov 2020 Prob (F-statistic): 0.824
Time: 12:26:11 Log-Likelihood: -1145.8
No. Observations: 163 AIC: 2296.
Df Residuals: 161 BIC: 2302.
Df Model: 1
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
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Intercept 346.8662 160.615 2.160 0.032 29.682 664.050
Average_Pulse 0.3296 1.478 0.223 0.824 -2.588 3.247
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Omnibus: 124.542 Durbin-Watson: 1.620
Prob(Omnibus): 0.000 Jarque-Bera (JB): 938.541
Skew: 2.927 Prob(JB): 1.58e-204
Kurtosis: 13.195 Cond. No. 811.
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