3. Derive from first principles using partial differentiation the expressions satisfied by the α, βā, βā and βā in the following regression equation:
y = α + βāxā + βāxā + βāxā + u
Where all symbols have their usual meaning.
4. Suppose you are given the following information:
Ŷā = 49.6870 - 2.1586Xā r² = 0.9757
(0.7463) (0.12113) df=8
T = (66.578) (-17.821)
p-value = (0.000) (0.000)
a) Conduct a two tailed hypothesis test that:
i) The intercept is 49 and the slope coefficient is -2, use 1% significance.
ii) Confirm your deductions to 4(a) (i) using a confidence interval approach
b) What does the r² tell you?
c) Perform a hypothesis using r², such that Ļ=0, what do you conclude?