3.

a) You run a regression analysis. You can explain 50% of the variance, and the total sum of squares is 10000. What is the sum of squares of the predicted values?

b) If a correlation between two variables is significant, then the slope of a simple linear regression line will also be significant. True/False?

c) Write down the general equation for a regression line. Explain each part.

d) What criterion is used to determine which regression line fits best? Give an example of another possible criterion.