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Statistics (14)
STAT 1770 (14)
Lecture

# October 4.docx

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School
Department
Statistics
Course
STAT 1770
Professor
John Sheriff
Semester
Fall

Description
October 4, 2013 Chapter 4, Section 4, pgs 89­92 Chapter 6, Section 1­3 pg 149­161 Chapter 7, Section 1­7 pg 178­196 Excersize 6.16 •  Graph 1  o Positive relationship  Speeds generally improving over time o Curved relationship  Speeds improve quickly early on but then level off  Moderate or reasonable strong •  Graph 2  o Pre 1986  1,5 furlong race o 1896  1.25 furlong race • Comapring the two graphs o Is there consistency? Exercise 4.42 • Linear association, positive • How strong is the relationship? o If they are two quantitative  variables, with no outliers, no  distinct groups  Correlation Summarizing Strength of Association • Where possible, add a numerical summary of the association • Linear relationships o Reasonably simple and quite common o Data may fall close to the straight line, or may be quite variable around  straight­line trend • Correlation( r)  summarizes the  strength of the  linear  relationships  between two  quantitative variables, x and y • Positive relationship­ both products in () are going to be positive • Negative relationship­ one product in () will be negative • If they are an exact linear line­ perfect correlation  o Upward sloping – perfect positive correlation  R=1 o Downward sloping­ perfect negative correlation  R= ­1  • If they are slightly scattered alon
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