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1) Review and compare your peers results and provide some analysis and interpretation: My Peer's Results: OLS Regression Results ============================================================================== Dep. Variable: mpg R-squared: 0.849

1) Review and compare your peers results and provide some analysis and interpretation:

My Peer's Results:

OLS Regression Results ==============================================================================

Dep. Variable: mpg R-squared: 0.849

Model: OLS Adj. R-squared: 0.838

Method: Least Squares F-statistic: 75.93

Date: Mon, 06 Feb 2023 Prob (F-statistic): 8.21e-12

Time: 16:34:15 Log-Likelihood: -66.737

No. Observations: 30 AIC: 139.5

Df Residuals: 27 BIC: 143.7

Df Model: 2

Covariance Type: nonrobust ==============================================================================

coef std err t P>|t| [0.025 0.975]

------------------------------------------------------------------------------

Intercept 39.3941 1.697 23.209 0.000 35.911 42.877

wt -4.7762 0.685 -6.970 0.000 -6.182 -3.370

hp -0.0291 0.008 -3.500 0.002 -0.046 -0.012 ==============================================================================

Omnibus: 2.826 Durbin-Watson: 2.371

Prob(Omnibus): 0.243 Jarque-Bera (JB): 2.096

Skew: 0.647 Prob(JB): 0.351

Kurtosis: 2.972 Cond. No. 650. ==============================================================================

My Results: OLS Regression Results ==============================================================================

Dep. Variable: mpg R-squared: 0.840

Model: OLS Adj. R-squared: 0.828

Method: Least Squares F-statistic: 70.64

Date:Mon, 06 Feb 2023 Prob (F-statistic): 1.87e-11

Time: 03:05:42 Log-Likelihood: -69.404

No. Observations: 30 AIC: 144.8

Df Residuals: 27 BIC: 149.0

Df Model: 2

Covariance Type:nonrobust

==============================================================================

coef std err t P>|t| [0.025 0.975]

------------------------------------------------------------------------------

Intercept 37.6181 1.618 23.257 0.000 34.299 40.937

wt -3.8709 0.634 -6.102 0.000 -5.173 -2.569

hp -0.0334 0.009 -3.684 0.001 -0.052 -0.015

==============================================================================

Omnibus: 4.325 Durbin-Watson: 2.350

Prob(Omnibus): 0.115 Jarque-Bera (JB): 3.132

Skew: 0.782 Prob(JB): 0.209

Kurtosis: 3.246 Cond. No. 588.

==============================================================================

  • Interpret your peer's coefficient of determination. How does it compare with yours?
  • How do the results of your peers' t-tests compare with yours?
  • Would you recommend this regression model to the car rental company? Why or why not?

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