Homework Problem:
On the graph paper that is provided for you I want you to analyze
this data and create two scatter plots.
One plot will be on the front of the paper and the other will be on the
back of the graph paper. Pick any
two attributes and label your x and y axis with the attributes that are being
used. Make sure that you scale the
graph paper and the two axis to fit your data.
|
Name |
Age |
Education* (# of
years) |
Annual
Income$ |
Vacations
Taken (in the
last year) |
# of pets |
# of siblings |
|
Bill |
34 |
6 |
38,000 |
0 |
4 |
1 |
|
John |
67 |
9 |
123,000 |
2 |
0 |
2 |
|
Carrie |
23 |
8 |
30,000 |
1 |
1 |
2 |
|
Pat |
45 |
8 |
52,000 |
2 |
2 |
2 |
|
Steve |
46 |
8 |
46,000 |
1 |
3 |
3 |
|
Sarah |
38 |
8 |
41,000 |
2 |
2 |
2 |
|
Pete |
50 |
10 |
98,000 |
4 |
1 |
0 |
|
Eric |
44 |
8 |
53,000 |
2 |
0 |
2 |
|
Dan |
40 |
10 |
57,000 |
2 |
2 |
1 |
|
Gene |
71 |
4 |
27,000 |
0 |
2 |
5 |
|
Jack |
68 |
6 |
49,000 |
2 |
1 |
0 |
|
Ashley |
29 |
8 |
45,000 |
1 |
2 |
2 |
|
Stacy |
36 |
8 |
52,000 |
1 |
1 |
2 |
|
Brittany |
46 |
4 |
34,000 |
0 |
3 |
2 |
|
Fran |
54 |
8 |
61,000 |
3 |
5 |
0 |
|
Tom |
39 |
8 |
50,000 |
1 |
1 |
4 |
|
Mario |
24 |
4 |
39,000 |
0 |
0 |
1 |
|
Dale |
68 |
4 |
105,000 |
2 |
3 |
6 |
|
Tammy |
62 |
4 |
26,000 |
0 |
0 |
2 |
|
Ann |
25 |
6 |
38,000 |
1 |
2 |
3 |
|
Susie |
54 |
10 |
49,000 |
3 |
4 |
1 |
|
Jen |
33 |
12 |
75,000 |
4 |
1 |
2 |
|
Lenny |
60 |
8 |
57,000 |
1 |
0 |
0 |
|
Lois |
71 |
8 |
24,000 |
2 |
2 |
2 |
|
Tiffany |
46 |
4 |
30,000 |
1 |
2 |
3 |
|
Sam |
32 |
8 |
62,000 |
2 |
0 |
2 |
|
Pam |
48 |
6 |
54,000 |
3 |
6 |
3 |
* - education (starting in ninth
grade)
$ - in thousands
After creating the scatter plots I want you to show a best-fit
line that you feel is as accurate as possible to the data that you have graphed
on your paper. Also the following
questions need to be answered.
1. I want you to tell
me why you put the best-fit line on the graph where you did?
2. What is the mean, median and mode of the data for the
attributes that were used above?
3. What other predictions can be made from the data on the
graph. I want two or three
predictions on the data that you used.
(For example you can tell me how many years of education that a 35
year old who makes $56,000 would have).
4. What can be concluded from the # of pets category and # of
siblings category?
5. What other correlations could be sought from this data?
6. Has enough data been collected to make assumptions and accurate predictions? What can be done to make our predictions more accurate?