Excel Correlation & Regression Task
There is some repeat here from a previous task.
Note: You may want to read this file in VIEW – Normal. Page breaks were not adjusted
on this file, so if you print this file it may not look good.
Enter the following data into Excel. However, before you type anything remember that
cells can be copied and pasted from Word to Excel. Also, do you remember the easy (and
safe) way to highlight this entire table? Ans: move insertion bar anyplace within the
table, hold down option key and double click.
Height
Weight
50
60
74
71
55
58
65
77
72
65
66
68
155
190
250
200
149
180
185
220
195
180
178
200
• Correlation: Use Excel  Data Analysis… (Correlation) feature to calculate Pearson's
correlation coefficient. Bring the Excel output back to Word and make it into a Table
(like below). Type-in the title of the table in MS-Word. Review: Does the output have
labels? Are there a reasonable number of decimals?
Table 1. Pearson’s Correlation for College Men (n=12)
Height
Height
Weight
Weight
1
0.84
1
In Excel, get the same correlation value using the Insert – Function… feature. Notice
under the Insert – Function… statistical category that there are actually two commands to
do this: CORREL and PEARSON You should end up with the same r value.
• Another Correlation in Excel: Start with the original height and weight data, and add
two more columns of data (pull-ups and jump height). Insert phony data yourself. Use
Data Analysis… Correlation for all 4 columns of data. Again, make a Table in Word.
Notes: (1) The "1" in the table means that there is a perfect positive correlation between
any variable and itself! (2) Although this table could be made using the Pearson
Function in Excel, one would have to repeat the process 6 times; thus Data Analysis is
much quicker to use.
Table 2. Correlation Matrix for College Men (n=12)
Height
Height
Weight
Pullups
Jump Ht.
Weight
1
0.84
-0.01
0.53
Pullups
1
0.03
0.54
Jump Ht.
1
0.15
1
Repeat – make a scatter gram from the original two columns of data (height & weight)
and then “clean-up” the chart so the figure looks like below. Bring the Excel Chart over
to Word and add a title. See example below.
240
y = 2.8068x + 7.4928
220
2
R = 0.708
WEIGHT
200
180
160
140
120
100
40
50
60
70
80
HEIGHT
Figure 1. Scatter gram between the height and weight of Cal Poly kinesiology majors
N=12).
* Read *
• Clean-up Excel output for reports
MS-Excel is just a "tool" to help a person write a final report and also to understand
numerical data. In most cases a person will use the Excel output to help prepare a final
report that is done in MS-Word.
• Make sure that tables and figures in your final report represents what you want it to
show. In other words, do not show worthless information and do not include information
that you do not understand.
• Make your tables and figures readable. Do not copy and paste Excel output directly to
MS-Word. Clean things up!
For example, let’s say that you used Data Analysis… Descriptive Statistics on the height
and weight data – remember how much output is generated?
Below is an example of a Table that would appear in a Word document showing the
“important” descriptive statistics from the output. Notice that:
• The Data Analysis Excel output was not copied and pasted into a table in Word.
• Only "important" descriptive statistics was included.
• Everything was typed in MS-Word using tabs.
• Decimal tabs were used on all numbers.
Table 1
Descriptive Statistics on Cal Poly Kinesiology Majors (n=12)
____________________________________________________________
Height
Weight
(inches)
(pounds)
Mean (+ sd)
65.08+2.33
190.16+7.78
Minimum
50
149
Maximum
77
250
Pearson's Correlation
Coefficient (r)
.84
____________________________________________________________