Question

1. A secondary purpose is to use regression analysis as a means of explaining causal relationships among variables. T/F
2. In order to make predictions, three important facts about the regression line must be known. One of them is: The point at which the line crosses the X-axis. T/F
3. The regression line is essentially an equation that expresses X as a function of Y. T/F
4. Residuals (errors of prediction) are essentially calculated as the difference between the actual value and the predicted value for the IV. T/F

Answer 1

Regression does not explain causation or causal relationship among the variables. Hence, the given statement is False. (Ans).

The point at which the regression line crosses the x-axis should be known, as it is the intercept of the regression line. It is the value of y when x is 0. Hence, the given statement is True. (Ans).

The regression line is an equation which expresses y as a function of x. Hence, the given statement is False. (Ans).

Residuals are calculated as the difference between the actual value and predicted value of dependent variable. Hence, the given statement is False. (Ans).