The following table contains results from the regression ofsales price (y) on lot size (x1), number of bedrooms(x2), number of bathrooms(x3) and number ofstoreys (x4). Sales price is the dependent variable andx1,x2,x3,x4 areindependent variables.
R2 = 0.54
F= stat = 48.3235
p value and F - stat of 1.18E - 88
n > 30.
a. Write down the least square prediction equation
b.use R2 to check the validity of the model.
c use \" t-stat\" to check the validity of the coefficient at 5 %sig. level
d.use P value to check the validity of the coefficient at 1% siglevel
e verbally explain each coefficient
f. check the validity of the model at 5% sig level ( use F statand its P value )
