NEEDED ASAP...THUMBS UP FOR CORRECT ANSWERS ONLY Which of the following statements are true regarding the performance metrics for regression model? [3 The R squared (R"2) score represents the proportion of variance (of y) that has been explained by the independent variables in the model l , The Root mean squared error (RMSE) can be interpreted as the standard deviation of the unexplained variance. In other words, RMSE is a measure of the spread of the v values about the predicted y value. l The Mean Absolute Error(MAE) of k in the regression problem can be interpreted as, on average. the predicted value is k unit far from the true value. l , The Mean absolute percentage error (MAPE) of k in the regression probtem can be interpreted as. on average, the difference from the predicted value to the true value is k percentage of the true value