A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). Σx = 90 Σy = 170 n = 10 SSE = 509.98 Σ(y − y)(x − x) = 467 Σ(x − x)2 = 233 Σ(y − y)2 = 1,436 The sample correlation coefficient is 0.8030. Find
A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). Σx = 90 Σy = 170 n = 10 SSE = 509.98 Σ(y − y)(x − x) = 467 Σ(x − x)2 = 233 Σ(y − y)2 = 1,436 The sample correlation coefficient is 0.8030. Find
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x).
Σx | = | 90 |
Σy | = | 170 |
n | = | 10 |
SSE | = | 509.98 |
|
||
Σ(y − y)(x − x) | = | 467 |
Σ(x − x)2 | = | 233 |
Σ(y − y)2 | = | 1,436 |
The sample correlation coefficient is 0.8030. Find the coefficient of determination.
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