aterpreting technology: A business school professor computed a least-squares regression line for predicting the salary in $ D00s for a graduate from the number of years of experience. The results are presented in the following Excel output. Coefficients Intercept 56.0786946 Experience 2.36826108 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: y =

Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter2: Matrices
Section2.6: More Applications Of Matrix Operations
Problem 18E
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Write the equation of the least-squares regression line. Use the full accuracy shown in the Excel output (do not round your answers).
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
Intercept
56.0786946
Experience 2.36826108
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: y =
Transcribed Image Text: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 Intercept 56.0786946 Experience 2.36826108 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: y =
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