EE 503 HOMEWORK SET #7
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EE 503
HOMEWORK SET #7
Assigned: 17 Nov 2023
Due: 1 Dec 2023
Instructions: PART ONE. Use the SPSS statistical software package to compute the sample statistics 
from the following real data on the “sweetness” Y and the pectin content X of pressed orange juice from 24 production runs:
Run Sweetness Index Pectin (parts per million)
|
1 |
5.20 |
220.00 |
|
2 |
5.50 |
227.00 |
|
3 |
6.00 |
259.00 |
|
4 |
5.90 |
210.00 |
|
5 |
5.80 |
224.00 |
|
6 |
6.00 |
215.00 |
|
7 |
5.80 |
231.00 |
|
8 |
5.60 |
268.00 |
|
9 |
5.60 |
239.00 |
|
10 |
5.90 |
212.00 |
|
11 |
5.40 |
410.00 |
|
12 |
5.60 |
256.00 |
|
13 |
5.80 |
306.00 |
|
14 |
5.50 |
259.00 |
|
15 |
5.30 |
284.00 |
|
16 |
5.30 |
383.00 |
|
17 |
5.70 |
271.00 |
|
18 |
5.50 |
264.00 |
|
19 |
5.70 |
227.00 |
|
20 |
5.30 |
263.00 |
|
21 |
5.90 |
232.00 |
|
22 |
5.80 |
220.00 |
|
23 |
5.80 |
246.00 |
|
24 |
5.90 |
241.00 |
What is the linear regression equation of the sweetness Y as a function of the pectin content X? Plot a “scatter diagram” with the sweetness index on the vertical axis and the pectin content of the juice on the horizontal axis. Turn in all printouts as appendices.
PART TWO. Repeat the above SPSS regression for 24 or more paired samples from some online database that you find and duly cite.
2023-11-28