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Lecture 5
Material Covered in This Lecture:
Chapter 2, Section 2.3: Least Squares
Regression
Example from last time:
Example(Exercise 2.29):
A student wonders if tall women tend to date
taller men than do short women. She measures herself, her dormitory
roommate, and the women in the adjoining rooms; then she measures the
next man each woman date.
Here are the data (heights in inches)
Woman (X)
6
6
6
4
6
6
6
5
7
0
65
Men (Y)
7
2
6
8
7
0
6
8
7
1
65
(to find this in minitab, follow stat>basic statistics>correlation)
Answer: r = 0.565. (
x
=66,
y
=69, s
x
= 2.098, s
y
=2.53)
1
h
Example 1 (Example 2.9, p132)
NEA Data:
NEA
94
57
29
13
5
14
3
15
1
24
5
35
5
39
2
47
3
48
6
53
5
57
1
58
0
62
0
690
Gat
4.2
3.0
3.7
2.7
3.2
3.6
2.4
1.3
3.8
1.7
1.6
2.2
1.0
0.4
2.3
1.1
r = 0.7786 (to find this in minitab, follow stat>basic statistics>correlation)
1
make a scatterplot with minitab….
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2
(1). How to find a good regression line?
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This note was uploaded on 07/25/2008 for the course STT 421 taught by Professor Nane during the Summer '08 term at Michigan State University.
 Summer '08
 NANE

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