a. Find the least squares estimate of the regression line with assuming the simple linear regression is valid. (Find the coefficients of the model) b. Write down the probabilistic and deterministic...

a. Find the least squares estimate of the regression line with assuming the simple linear regression
is valid. (Find the coefficients of the model)
b. Write down the probabilistic and deterministic models (equations) with the estimated
coefficients.
c. Find the sum of squares of the regression and error and their corresponding mean squares.
d. Test the usefulness of the regression model and the slope of the line of means.
e. Find the coefficient of correlation and coefficient of determination of the regression model and
interpret your results.

The value of H is 3 and the value of I is 2.

Extracted text: 100 125 200 250 250 300 180 210 | 190 320 280 | 400 430 440 | 390 | 600 610 125 150 150 200 300 | 350 | 400+H 400+I y 155 142 670