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 Of Residuals: 15 BIC: 50.95 Df Model: 2 Covariance Type: nonrobust coef std err t P>It| [0. 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