Correlation analysis is used to determine a. the equation of the regression line b. a specific value of the dependent variable for a given value of the independent variable c. the strength of the relationship between the dependent and the independent variables d. none of these alternatives is correct. 2. if the coefficient of correlation is a positive value, then a. the intercept must also be positive b. y the coefficient of determination (r square) can be either negative or positive, depending on the value of the slope c. the slope of the line must be positive d. the regression equation could have either a positive or a negative slope a 3. if two variables, x and y, have a strong linear relationship, then y causes x to happen b. x causes y to happen c. there may or may not be any causal relationship between x and y d. none of these alternatives is correct. 4. in a regression analysis, the variable that is being predicted a. must have the same units as the variable doing the predicting b. is the independent variable c. is the dependent variable d. usually is denoted by x 5. a regression analysis between sales (yin $1000) and advertising (x in dollars) resulted in the following equation 30.000 + 4x the above equation implies that an a increase of s4 in advertising is associated with an increase of $4,000 in sales b. increase of si in advertising is associated with an increase of s4 in sales c. increase of si in advertising is associated with an increase of $4,000 in sales d. increase of si in advertising is associated with an increase of $34,000 in sales 6. in a regression and correlation analysis ifr - 1, then ssesst ssr-sst c. ssr-sse 7. in regression analysis, if the independent variable is measured in pounds, the dependent variable a. must also be in pounds must be in some unit of weight e can be any units d. cannot be in pounds