The ols() method in statsmodels module is used to fit a multiple regression model using "Quality" as the response variable and "Speed" and "Angle" as the predictor variables. The output is shown below. A text version is available. What is the correct regression equation based on this output? What is the coefficient of determination? Select one. OLS Regression Results Dep. Variable: Quality R-squared: 0. 978 Model: OLS Adj. R-squared: 0.975 Method: Least Squares F-statistic: 332.2 Date: Fri, 16 Aug 2019 Prob (F-statistic): 3.80e-13 Time: 12: 49: 37 Log-Likelihood: -21. 142 No, Observations : 18 AIC: 48. 28 Df Residuals: 15 BIC: 50. 95 of Model: Covariance Type: nonrobust coef std err P>It/ [O . 025 0. 975] Intercept 0. 5382 0.473 1. 137 0.273 0. 471 1. 547 Speed -1. 9046 0. 176 10.834 0. 000 -2.279 -1. 530 Angle 4. 0280 0. 178 22.574 0.000 3.648 4. 408 Omnibus : 4. 358 Durbin-Watson: 2. 121 Prob (Omnibus ) : 0. 113 Jarque-Bera (JB) : 1.414 Skew: 0. 082 Prob (JB) : 0. 493 Kurtosis : 1. 637 Cond. No. 14.4 Quality = 0.5382 -1.9046 Speed + 4.0280 Angle coefficient of determination = 332.2 Quality = 0.473 + 0.176 Speed + 0.178 Angle coefficient of determination = 332.2 Quality = 0.5382 - 1.9046 Speed + 4.0280 Angle O coefficient of determination = 0.978 Quality = 0.473 + 0.176 Speed + 0.178 Angle O coefficient of determination = 0.978