please explain which one is correct and explain why the other answers are incorrect

Which one of the following statements are TRUE about linear correlation and regression analyses? In order for regression modelling to be valid, a statistically significant and meaningful linear correlation must first be established. O The usefulness of the regression model is determined by the correlation coefficient. Both linear correlation and regression models require normality of the residuals as an assumption. Linear regression models should be used outside of the domain and range of the dataset