explain each problem pls on why its never or always

Consider two variables, X and Y, measured from a sample. You ran an OLS linear regression model predicting Y based on X with the following result: Y = bo + bix For each statement below, select "always," "sometimes," or "never." Terms may be used more than once or not at all. 1. If b1 is negative, then the correlation between X and Y will [ Select ] V be positive. 2. If the correlation between X and Y is negative, an observation with an above-average X value will [ Select ] have a below-average Y value. 3. If X and Y are significantly correlated, then b1 will [ Select ] be zero