The regression below is a bivariate regression with test scores as the dependent variable and the percent of students in a school district who receive free meals as the explanatory variable. Use the information shown in the table below to calculate the residual for Briggs Elementary in Ventura County which has 64.7887 percent of its students on free meals and whose actual test score was 639.9. reg testser meal_pct SS Source I Model | 114806.971 Residual 37302.6227 Total I 152109,594 testscr Coefficient meal pct I -.6102858 cons I 681.4395 df 1 418 419 363.030056 Std. err. MS 114806.971 89.2407241 017015 .8894254 t 766.16 Number of obs F(1, 418) Prob> F R-squared Adj R-squared Root MSE p>It| 0.000 - 420 1286.49 0.0000 9.4467 (95% conf. intervall -.6437314 -.5768403 679.6912 683.1878
The regression below is a bivariate regression with test scores as the dependent variable and the percent of students in a school district who receive free meals as the explanatory variable. Use the information shown in the table below to calculate the residual for Briggs Elementary in Ventura County which has 64.7887 percent of its students on free meals and whose actual test score was 639.9. reg testser meal_pct SS Source I Model | 114806.971 Residual 37302.6227 Total I 152109,594 testscr Coefficient meal pct I -.6102858 cons I 681.4395 df 1 418 419 363.030056 Std. err. MS 114806.971 89.2407241 017015 .8894254 t 766.16 Number of obs F(1, 418) Prob> F R-squared Adj R-squared Root MSE p>It| 0.000 - 420 1286.49 0.0000 9.4467 (95% conf. intervall -.6437314 -.5768403 679.6912 683.1878
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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