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STAT 1770 (14)
Lecture

# October 7.docx

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School
University of Lethbridge
Department
Statistics
Course
STAT 1770
Professor
John Sheriff
Semester
Fall

Description
October 7, 2013 Chapter 7, Sec 1­7, 178­196 Chapter 7­ Least squares Regression: “Line of Best Fit” • If relationship between two quantitative variables has a  straight­line pattern, we can extend our analysis by  finding equation of straight line that best describes  pattern • Regression line o Predicts typical value of response variable from  value of explanatory value  b1= slope • =expected change in y for a 1­ unit change increase in x • =expected change in “other drug  use” for a 1% increase in  marijuana use  b0=intercept • =predicted value of y when x=0 • predicted “other drug use” when marijuana use is 0% o Sine lien is supposed to “predict” response variable base
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