Predictive & Statistical Analysis Time Remaining 01:24:17 42 Linear Regression Which of the following is NOT true about linear regression? Linear regression is used to predict new values of the target variable In linear regression, the target variable is a continuous quantity OOOO Linear regression allows us to predict new values of the independent variable Linear regression allows us to model how the target variable changes with the independent variables Page 42 Next PagePredictive & Statistical Analysis Time Remaining 01:27:21 40 Linear Regression The ordinary least squares (OLS) algorithm.. Maximizes the sum of residuals Minimizes the sum of square residuals OOOO Minimizes the sum of residuals Maximizes the sum of square residuals Page 40 Next PageModel Evaluation 3: Data Visualization 44 Evaluation Metrics Which of the following is a result ofan overtting model? The model is more accurate on the testing data than the training data The model is less accurate on the training data than the testing data The model is more accurate as more observations are input The model is more accurate on training data and less accurate on testing data. Page 4-} ll Model Evaluation & Data Visualization Time Remaining 01: 46 Evaluation Metrics Match the following to an underfitting and overfitting model: High bias A. Overfitting B. Underfitting High variance Low bias Low variance Page 46