1. Suppose output (Q) is related to labor (L) and capital (K) in the following nonlinear way: Q = albKc When taking log to this equation, it is transformed into a linear LnQ = Ina + b In(L) + c Ln (K) One hundred twenty-three observations are used to obtain the following regression results: Dependant Variable: Observations: Variable Intercept L K 123 5.5215 Parameter Standard Estimate error 0.650 R-square 0.350 0.7547 0.9750 0.2950 0.1450 F-ratio 184.56 t-ratio 5.66 2.20 2.41 p-value on F 0.00001 p-value 0.0001 0.0295 0.0173 a. Write the regression equation based on the output either in the transformed linear form or the original non-linear form.

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1. Suppose output (Q) is related to labor (L) and capital (K) in the following nonlinear way:
Q = albKc
When taking log to this equation, it is transformed into a linear
LnQ = Ina + b In(L) + c Ln (K)
One hundred twenty-three observations are used to obtain the following regression results:
Dependant
Variable:
Observations:
Variable
Intercept
L
K
Q
123
5.5215
Parameter Standard
Estimate
error
0.650
R-square
0.350
0.7547
0.9750
0.2950
0.1450
F-ratio
184.56
t-ratio
5.66
2.20
2.41
p-value on F
0.00001
p-value
0.0001
0.0295
0.0173
a. Write the regression equation based on the output either in the transformed linear form or the original non-linear form.
Transcribed Image Text:1. Suppose output (Q) is related to labor (L) and capital (K) in the following nonlinear way: Q = albKc When taking log to this equation, it is transformed into a linear LnQ = Ina + b In(L) + c Ln (K) One hundred twenty-three observations are used to obtain the following regression results: Dependant Variable: Observations: Variable Intercept L K Q 123 5.5215 Parameter Standard Estimate error 0.650 R-square 0.350 0.7547 0.9750 0.2950 0.1450 F-ratio 184.56 t-ratio 5.66 2.20 2.41 p-value on F 0.00001 p-value 0.0001 0.0295 0.0173 a. Write the regression equation based on the output either in the transformed linear form or the original non-linear form.
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