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Lecture

# STAT 151 (10/20/13) Intro into Simple Linear Regression

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School
Department
Statistics
Course
STAT151
Professor
Paul Cartledge
Semester
Fall

Description
STAT 151 (September 20, 2013) Chapter 8/9: Introduction into Simple Linear Regression Regression line – is a line whose corresponding (x,y) values are the predictive for the value of the response variable  The equation is: o b =0the y-intercept o b =1the slope o (y-hat) = predicted value of ‘y’  Simple linear regression line can also be known as the “Line of Best Fit” o Tells how a line fits in the overall pattern of observation points  There is only one explanatory variable Residual – is the difference between the estimated and the observed value
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