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regression and correlation analysis resulted in the following information regarding a dependent variable0) and an adependent variable (x). E(y - F (Xx - F) = 436 E(x - = 234 E(y - F)} = 1454 x= 90 y= 180 = 10 SE = 505.98 OUND all answers to the nearest hundredths (two decimal spots). he least squares estimate of the slope or b1 equals he Y intercept is he coefficient of determination is

regression and correlation analysis resulted in the following information regarding a dependent variable0) and an adependent variable (x). E(y - F (Xx - F) = 436 E(x - = 234 E(y - F)} = 1454 x= 90 y= 180 = 10 SE = 505.98 OUND all answers to the nearest hundredths (two decimal spots). he least squares estimate of the slope or b1 equals he Y intercept is he coefficient of determination is

MATLAB: An Introduction with Applications
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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A regression and correlation analysis resulted in the following information regarding a dependent variable (v) and an independent variable (x). E(y - F (x - x) = 436 E(x -7) = 234 E(y - F) = 1454 Σ 90 Σν- 180 n= 10 SSE = 505.98 ROUND all answers to the nearest hundredths (two decimal spots). The least squares estimate of the slope or bị equals The Y intercept is The coefficient of determination is The coefficient of correlation is
Transcribed Image Text:A regression and correlation analysis resulted in the following information regarding a dependent variable (v) and an independent variable (x). E(y - F (x - x) = 436 E(x -7) = 234 E(y - F) = 1454 Σ 90 Σν- 180 n= 10 SSE = 505.98 ROUND all answers to the nearest hundredths (two decimal spots). The least squares estimate of the slope or bị equals The Y intercept is The coefficient of determination is The coefficient of correlation is
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