Regression analysis results in the estimation equation log $\hat{ Y }$
= 3.0 + 0.50 log x₁ + 0.35 log x₂ following data transformation.Transform this equation to the equivalent exponential model of the form $\hat{ Y }$
= $b _ { 0 } x _ { 1 } ^ { b } 1 x _ { 2 } ^ { b _ { 2 } }$ .(The base of the logarithm is 10.) $\hat{ Y }$
= ____________________

Question

Regression analysis results in the estimation equation log

\hat{ Y }

= 3.0 + 0.50 log x₁ + 0.35 log x₂ following data transformation.Transform this equation to the equivalent exponential model of the form

\hat{ Y }

=

b _ { 0 } x _ { 1 } ^ { b } 1 x _ { 2 } ^ { b _ { 2 } }

.(The base of the logarithm is 10.)

\hat{ Y }

= ____________________

Quizplus · Accepted Answer

The Answer of Regression analysis results in the estimation equation log $\hat{ Y }$ = 3.0 + 0.50 log x₁ + 0.35 log x₂ following data transformation.Transform this equation to the equivalent exponential model of the form $\hat{ Y }$ = $b _ { 0 } x _ { 1 } ^ { b } 1 x _ { 2 } ^ { b _ { 2 } }$ .(The base of the logarithm is 10.) $\hat{ Y }$ = ____________________

Regression Analysis Results in the Estimation Equation Log Y^\hat{ Y }Y^

Regression Analysis Results in the Estimation Equation Log $\hat{ Y }$