Box1. Write the degrees of freedom for the regression

Box2. Write the mean of X (Xbar)

Box3. Write the mean of Y (Ybar)

Box4. Write the SST for Y

Box5. Write the SST for X

Box6. Write the sum of the product for (X,Y) - i.e. the sum of [(X-Xbar)(Y-Ybar)]

Box7

Box8

Box9

Box10

Box11

Box 12

Box 13

Below is the data for regression Y = Bo + BIX + U Y X Uhat 2 -0. 08 -0 . 7 1 . 74 w -1. 26 Un 0.3 1.5 points for each box except for Box 7, 8, 10, 11(3 points) and Box 13(2 points)Using this data, calculate the following and write the answer in the indicated box: Always round up to 2 decimal places whenever necessary. Box1. Write the degrees of freedom for the regression Box2. Write the mean of X (Xbar) Box3. Write the mean of Y (Ybar) Box4. Write the SST for Y Box5. Write the SST for X Box6. Write the sum of the product for (X,Y) - i.e. the sum of [(X-Xbar)(Y-Ybar)] Box7 (3pts). Write the value of B1 Box8 (3pts). Write the value of Bo Box9. Write the value of SSRBox8 (3pts). Write the value of Bo Box9. Write the value of SSR Box10 (3pts). Write the value of estimate of O, the variance of uhat Box11 (3pts). Write the value of the estimate of the variance of beta1 hat, i.e. Var (B1 ) Box12. Write the value of the estimate of the standard error of beta1 hat, i.e. se (BI) Box13 (2pts). Write the value of t-statistic for /1. We are testing a null hypothesis Ho : B1 = 0