QUESTION 1: Function Form regression Model Using the Comb Douglas production function for API generation, the empirical results are given as follows: Model X : Y = 12.4281-0.7608pl -24.6154pk-12.3621pf (15.8223) (3.2471) (24.1574) (4.5137) Adjusted R-square = 0.7999

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interpret the adjusted R-square for model Z

QUESTION 1: Function Form regression Model
Using the Comb Douglas production function for API generation, the empirical results are
given as follows:
Model X :
Y = 12.4281 -0.7608pl -24.6154pk - 12.3621pf
(15.8223) (3.2471) (24.1574) (4.5137)
Adjusted R-square = 0.7999
Model Y:
Y = 9.5411-0.9754pl - 12.3247Inpk - 10.0476pf
(9.663) (0.2358) (3.6973) (2.1407)
Adjusted R-square= 0.8671
Model Z:
In Y = 10.3254-0.7591 Inpl +9.0001 Inpk - 7.6448 Inpf
(9.1542) (0.1189) (2.8319) (2.8751)
Adjusted R-square = 0.8904
Where:
Y, pl, pk and pf are total cost of production, price of labour input, price of capital input
and price of fuel respectively.
Transcribed Image Text:QUESTION 1: Function Form regression Model Using the Comb Douglas production function for API generation, the empirical results are given as follows: Model X : Y = 12.4281 -0.7608pl -24.6154pk - 12.3621pf (15.8223) (3.2471) (24.1574) (4.5137) Adjusted R-square = 0.7999 Model Y: Y = 9.5411-0.9754pl - 12.3247Inpk - 10.0476pf (9.663) (0.2358) (3.6973) (2.1407) Adjusted R-square= 0.8671 Model Z: In Y = 10.3254-0.7591 Inpl +9.0001 Inpk - 7.6448 Inpf (9.1542) (0.1189) (2.8319) (2.8751) Adjusted R-square = 0.8904 Where: Y, pl, pk and pf are total cost of production, price of labour input, price of capital input and price of fuel respectively.
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