1. The similarities and differences between correlation and regression Correlation and regression are two closely related topics in statistics. For each of the following statements, indicate whether the statement is true of correlation, true of regression, true of both correlation and regression, or true of neither correlation nor regression. Both Correlation Neither Correlation Regression Correlation and Regression nor Regression Calculated values must be between -1 and 1 O O O O Can be tested for statistical significance O O O O Provides a way to predict a specific value of one variable (such as weight) from the value of another variable (such as O O O O height)Attempts Average / 1 2. Statements about regression Which of the following are true about regression with one predictor variable (often called "simple regression")? Check all that apply. The intercept in the regression equation Y= a + bx is the value of Y when X is zero After conducting a hypothesis test to test that the slope of the regression equation is nonzero, you can conclude that your predictor variable, X, causes Y The standardized regression coefficient, beta, has the same value as r, the estimated correlation