8)The following bivariate data represents a report about the x: time (in years) and y: the average height of a person can jump (in cm): [Hint: better if you start with expanding the table with multiple columns when you take the transpose of this one)

a) Find the least squares estimate of the regression line with assuming that the simple linear regression is valid. (Find the regression equation).

b) Estimate an average jump height when the persons age becomes 35 based on your regression model with 95% confidence interval.

8)[20 pts.] The following bivariate data represents a report about the x: time (in years) and y: the average height of a person can jump (in cm): [Hint: better if you start with expanding the table with multiple columns when you take the transpose of this one) X 10+E 20+F 30+G 40+H 50+1 20 60 80 70 60 a) Find the least squares estimate of the regression line with assuming that the simple linear regression is valid. (Find the regression equation). b) Estimate an average jump height when the person's age becomes 35 based on your regression model with 95% confidence interval