HOME WORK WEB PAGE FOR CLASS MATH 251
& MATE 251 & MATE 345
Chapter 3 Descriptive
Statistics
3.5 Measures of Relation Between Two
Variables
In this section we present covariance and
correlation as descriptive measures of the relationship between two variables.
Covariance
For a sample of size n with the
observations (
,
), (
,
) and so on, the sample covariance is defined as follows:
Sample
Covariance
s
=
This formula pairs each
with a ![]()
Correlation
Coefficient
r
=![]()
r
=Sample correlation Coefficient
= Sample Covariance
= Sample Standard Deviation for x
=Sample Standard Deviation for y
Home Work
1.
Compute the sample correlation coefficient for PCs file
2.
What does the sample PCs correlation
coefficient tell about the relationship between the performance score and
overall rating?
3.
Compute the sample correlation coefficient for DowS&P file.
Are they poorly correlated, or do they have a close association?
4.
What is the correlation between the high and low temperature for
the file HighLow
5.
|
Driving Speed |
30 50
40 55 30
25 60 25
50 55 |
|
KM |
28 25
25 23 30
32 21 35
26 25 |
a. KM
in Horizontal Axis, Develop a scatter diagram and interpret it
b. Compute
and interpret covariance
c. Compute
the sample correlation coefficient for the data.
d. What
does this value tell us about the relationship between two variables?