The following estimated regression model was developed relating yearly income (Y in $1,000s) of 30 individuals with their age (X1) and their gender (X2) (0 if male and 1 if female). = 30 + 0.7X1 + 3X2. As well provided are SST = 1,200 and SSE = 384.
1. From above function, it can be said that the expected yearly income of
1. males is $3 more than females
2. females is $3 more than males
3. males is $3,000 more than females
4. females is $3,000 more than males
2. The multiple coefficient of determination is
1. 0.32
2. 0.42
3. 0.68
4. 0.50