The complete model E(y) = 0 + 1x1 + 2x2 + 3x3 + 4x4 + was

The complete model
E(y) = β0 + β1x1 + β2x2 + β3x3 + β4x4 + Ɛ
was fitted to n = 20 data points, with SSE = 152.66. The independent variables x3 and x4 were dropped from the model, yielding SSE = 160.44.
a. How many β parameters are in the complete model?
The reduced model?
b. Specify the null and alternative hypotheses you would use to investigate whether the complete model contributes more information relevant to the prediction of y than the reduced model does.
c. Conduct the hypothesis test of part b. Use α = .05.