21. The estimation of a Cobb-Douglas production function for 20 firms of a given industry yields: qi = 16.907 +0.322ki + 2.777li R² = 0.915 DW = 2.032 RSS = 0.461 Use a = 5% 4.939971 ☐ Var B 0.216639 0.031857 -0.857446 -0.057229 0.166070/ where q: fitted values of naturals logarithms of output (output express in 1000 tons); ki: natural logarithms of capital output (output express in 1000 tons) li: natural logarithms of labour (labour is in hours) RSS: residual sum of squares 1: firm index Var ẞ: variance - covariance matrix of estimates a. Evaluate the statistical significance of the coefficients.

Calculus: Early Transcendentals
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ISBN:9781285741550
Author:James Stewart
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Chapter1: Functions And Models
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Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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21. The estimation of a Cobb-Douglas production function for 20 firms of a given industry yields:
qi = 16.907 +0.322ki + 2.777li
R² = 0.915 DW = 2.032 RSS = 0.461 Use a = 5%
4.939971
☐
Var B 0.216639
0.031857
-0.857446
-0.057229 0.166070/
where q: fitted values of naturals logarithms of output (output express in 1000 tons);
ki: natural logarithms of capital output (output express in 1000 tons)
li: natural logarithms of labour (labour is in hours)
RSS: residual sum of squares
1: firm index
Var ẞ: variance - covariance matrix of estimates
a.
Evaluate the statistical significance of the coefficients.
Transcribed Image Text:21. The estimation of a Cobb-Douglas production function for 20 firms of a given industry yields: qi = 16.907 +0.322ki + 2.777li R² = 0.915 DW = 2.032 RSS = 0.461 Use a = 5% 4.939971 ☐ Var B 0.216639 0.031857 -0.857446 -0.057229 0.166070/ where q: fitted values of naturals logarithms of output (output express in 1000 tons); ki: natural logarithms of capital output (output express in 1000 tons) li: natural logarithms of labour (labour is in hours) RSS: residual sum of squares 1: firm index Var ẞ: variance - covariance matrix of estimates a. Evaluate the statistical significance of the coefficients.
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