Question: please help just for exercise log(A) = $1 + $2log (B) + e Dependent Variable: LOG_A Method: least Square N:75 Variable Coefficient standard Error t-statistic

please help just for exercise

please help just for exercise log(A) = $1 + $2log (B) +

log(A) = $1 + $2log (B) + e Dependent Variable: LOG_A Method: least Square N:75 Variable Coefficient standard Error t-statistic Prob C 5.342617 0.146978 36.34978 LOG B -0.575199 0.084641 -6.795726 0 R-squared 0.387491 Mean dependent var 4.345160 Adjusted R-squared 0.379100 S.D. dependent var 0.084440 S.E. of regression 0.066536 Akaike info criterion -2.555833 Sum squared resid 0.323177 Schwarz criterion -2.494033 Log likelihood 97.84374 Hannan-Quinn criter. -2.531157 F-statistic 46.18189 Durbin-Watson stat 2.207852 Report the estimated linear regression and interpret b2 Construct a 95% confidence interval for b2 Using the p-value provided, test the following hypothesis at the 1% level of significance: HO: B1 = 0 H1: p1 # 0 What do we conclude?. Please help

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