Interpreting technology: A business school professor computed a least-squares regression line for predicting the salary in...

 

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Interpreting technology: A business school professor computed a least-squares regression line for predicting the salary in $1000s for a graduate from the number of years of experience. The results are presented in the following Excel output. Coefficients 60.2359545 Intercept Experience 2.3408091. Part: 0/2 Part 1 of 2 Write the equation of the least-squares regression line. Use the full accuracy shown in the Excel output (do not round your answers). Regression line equation: -| Part 2 of 2 Predict the salary for a graduate with 5 years of experience. Round your answer to three decimal places. The salary in $1000s is X G Interpreting technology: A business school professor computed a least-squares regression line for predicting the salary in $1000s for a graduate from the number of years of experience. The results are presented in the following Excel output. Coefficients 60.2359545 Intercept Experience 2.3408091. Part: 0/2 Part 1 of 2 Write the equation of the least-squares regression line. Use the full accuracy shown in the Excel output (do not round your answers). Regression line equation: -| Part 2 of 2 Predict the salary for a graduate with 5 years of experience. Round your answer to three decimal places. The salary in $1000s is X G