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

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter4: Polynomial And Rational Functions
Section4.6: Variation
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Question 17.

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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