The Pelangi Corporation has 11 plants located around the world. In a recent year, the data for each plant gave the number of labour hours capital (total net plant assets), and total quantity produced. The plants all operate at a similar level of technology, so that a production function can be derived from the data. A Cobb-Douglas production function was estimated and the result is shown below. Model Summary Adjusted Std. Error of the R Square R Square Estimate a Predictors: (Constant), this, LnCI ANOVAUJ) Sum of Mean Squares Square14 Regression 1. 228 358. 012 .000(a) Residual Total 1. 242 a Predictors: (Constant), mg, mg b Dependent Variable: LnQ Coefficients(a) Unstandardized Standardized Coefficients Coefficients -_ (Constant) . 1.286 Eng . .158 .464 . .327 .534 a Dependent Variable: mg a. Discuss the important characteristics of the above results: i. The form of the equation ii. R2 iii. The statistical significance of the coefficients. (9) b. Does the result indicate constant, decreasing, or increasing return to scale? Explain. (3) c. What are the elasticities of production of labour and of capital? Explain