Given are five observations for two variables, and . xi 3 5 13 15 17 yi 54 57 40 13 16 The estimated regression equation for these data is y= 68.37 + 3.05x a. Compute sse (to 2 decimals) sst (to 2 decimals) ssr (to 2 decimals) b. Compute the coefficient of determination r^2. Comment on the goodness of fit. (to 3 decimals) The least squares line provided a good fit; % of the variability in has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)

Given are five observations for two variables, and . xi 3 5 13 15 17 yi 54 57 40 13 16 The estimated regression equation for these data is y= 68.37 + 3.05x a. Compute sse (to 2 decimals) sst (to 2 decimals) ssr (to 2 decimals) b. Compute the coefficient of determination r^2. Comment on the goodness of fit. (to 3 decimals) The least squares line provided a good fit; % of the variability in has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 6PPS

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