1. See Minitab output below:

Question:
a. Use the t test and a = 0.05 to test H₀: b₁= 0 and H₀: b₂ = 0. (weight 20)
b. Determine the SSE value. (weight 10)
c. Determine the value of R2 and explain its meaning. (weight 10)

R2=Coefficient determination

2. Below is the estimation equation for multiple linear regression from 10 observations is as follows:

The SST and SSR values were 6724,125 and 6216,375, respectively.
Question:
a. Determine the SSE value. (weights 20)
b. Calculate R2. (weights 20)
c. Calculate the value of F and perform the F test using  = 0.05. (weights 20)

FIGURE DI6.Id The regression equation is Y - - 169 . 12.2 x - 0.177 XxsQ SE Coef 39.79 Predictor Coef T Constant -168.88 -4.74 0.024 12.187 2.663 4.58 0.020 XSQ -0.17704 0.04290 -4.13 0.026 S = 3.248 R-sq - 94.5 R-sq (adj) = 90.8 Analysis of Variance SOURCE DF MS Regression 2 541.85 270.92 25.68 0.013 Residual Error 3 31.65 10.55 Total 573.50