The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) belov No. of absences, x 4 5 6 7 0 1 2 3 8 9 89.1 86.2 83.4 81.0 78.1 73.8 64.1 68.9 66.1 63.3 Final grade, y (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable. ŷ=[ x + ( (Round to three decimal places as needed.)
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) belov No. of absences, x 4 5 6 7 0 1 2 3 8 9 89.1 86.2 83.4 81.0 78.1 73.8 64.1 68.9 66.1 63.3 Final grade, y (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as the response variable. ŷ=[ x + ( (Round to three decimal places as needed.)
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 22EQ
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