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

Question 62

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Regression analysis results in the estimation equation log Y^\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 Y^\hat{ Y }
= b0x1b1x2b2b _ { 0 } x _ { 1 } ^ { b } 1 x _ { 2 } ^ { b _ { 2 } } .(The base of the logarithm is 10.) Y^\hat{ Y }
= ____________________

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