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Chapter 5 Notes

by: DeAnna Barbour

5

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2

Chapter 5 Notes MATH 1530 L10

DeAnna Barbour
ETSU

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COURSE
Prob/Stat Non-Calculus
PROF.
Masum
TYPE
Class Notes
PAGES
2
WORDS
CONCEPTS
reggression, ETSU1530L10, ETSU, prob/stats, noncalculus
KARMA
25 ?

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This 2 page Class Notes was uploaded by DeAnna Barbour on Wednesday September 28, 2016. The Class Notes belongs to MATH 1530 L10 at East Tennessee State University taught by Masum in Fall 2016. Since its upload, it has received 5 views. For similar materials see Prob/Stat Non-Calculus in Math at East Tennessee State University.

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Date Created: 09/28/16
Slope: ➔ change in y over change in x ➔ anything with x in the y=mx+b formula Y-intercept: ➔ the point where the x = 0 least-squares regression line ➔ ŷ=a+bx ◆ A is the y intercept and b is slope ➔ Predicted = y-intercept + slope *If r^2 is greater the model is better [closer to 100%]* ➔ Another measure of the strength of a linear relationship comes from finding r2, or the square of the correlation. ➔ Lurking variables are the contribution of percentages left after finding r^2 ○ 9 2% ○ 1 00 - 92 = 8% < LURKING VARIABLES Residuals: ➔ Ŷ ≠ y ➔ Ŷ - y = residual ● Y-hat = 210.75 + (11.06)(19) 210.04 210.75 + 210 .04 = 420.89 410 - 420.89 = -10.89 [residual] influential observation: a data point being deleted from the dataset will change the outcome noticeably Teacher Made Notes!

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