Suppose you estimated a simple linear regression model involving log hourly wage rate and experience for a sample of 1000 people. The estimated results are given below: Dependant Variable: log(w) Coefficients Standard Error t-Statistic 10.0508 intercept experience 0.17 2.56 0.3546 0.1986 12.4673 Based on the above estimated results, which of the following represents the fitted line, i.e. the sample regression function? a) log (w)i =2.56 + 0.17experience; + u; b) log (w)i =2.56 + 0.17experience; + û¡ c) log (w)j =0.17 + 2.56experience; d) log (w)i =2.56 + 0.17experience; e) none of the above
Suppose you estimated a simple linear regression model involving log hourly wage rate and experience for a sample of 1000 people. The estimated results are given below: Dependant Variable: log(w) Coefficients Standard Error t-Statistic 10.0508 intercept experience 0.17 2.56 0.3546 0.1986 12.4673 Based on the above estimated results, which of the following represents the fitted line, i.e. the sample regression function? a) log (w)i =2.56 + 0.17experience; + u; b) log (w)i =2.56 + 0.17experience; + û¡ c) log (w)j =0.17 + 2.56experience; d) log (w)i =2.56 + 0.17experience; e) none of the above
Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 1E
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