Shown below is a portion of a computer output for a linear regression analysis relating y (demand in units) and x (unit price in $).

CoefficientStandard Errort-statisticp-value

Intercept 80.390 3.102 25.9160.000

x -2.137 0.248 ?0.000

Source of VariationSum of squaresDegrees of freedomMean square F-statistic p

value

Regression 5048.818 1 5048.818 ? ?

Error ? 46 ?

Total 8181.479 47

We are interested in determining whether or not demand and unit price are linearly related using a significance level =0.05.

A) What is the estimated linear regression equation relating demand and unit price.

B) Fully interpret the meaning of the estimated coefficient of in this estimated linear regression equation.

C) Complete the missing values in the regression output tables above.

D) Calculate the coefficient of determination, R2, and fully interpret its meaning in this context. Be very specific.