Consider the following regression output where the dependent variable is earnings (measured in millions of rands) and the independent variable is weight (measured in kilograms) for 50 individuals with the title CEO. Standard errors are given in brackets below the parameter estimates. earnings 16.132 +2.9962weight (12.3829) (1.5955) ²0.8246 Standard error of regression = 194.0771 In the questions below find the values of the constant and slope parameter estimates, standard errors of the estimates, and estimated variance of the error terms, if earnings is measured in thousands and weight is measured in grams. a) se(8₁)= b) se(3₂)= c)

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This is 1 question that has 3 sub-parts, please answer all from a-c

Consider the following regression output where the dependent variable is earnings (measured in millions of
rands) and the independent variable is weight (measured in kilograms) for 50 individuals with the title CEO.
Standard errors are given in brackets below the parameter estimates.
earnings 16.132 +2.9962weight
(12.3829) (1.5955)
²0.8246
Standard error of regression=194.0771
In the questions below find the values of the constant and slope parameter estimates, standard errors of the
estimates, and estimated variance of the error terms, if earnings is measured in thousands and weight is
measured in grams.
a)
se(8₁)=
b)
se(82)=
c)
Transcribed Image Text:Consider the following regression output where the dependent variable is earnings (measured in millions of rands) and the independent variable is weight (measured in kilograms) for 50 individuals with the title CEO. Standard errors are given in brackets below the parameter estimates. earnings 16.132 +2.9962weight (12.3829) (1.5955) ²0.8246 Standard error of regression=194.0771 In the questions below find the values of the constant and slope parameter estimates, standard errors of the estimates, and estimated variance of the error terms, if earnings is measured in thousands and weight is measured in grams. a) se(8₁)= b) se(82)= c)
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