Homework Help is Here – Start Your Trial Now!
Math
Statistics
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

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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question

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.
Expert Solution
steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS