1) Conduct a regression
analysis to determine if age (independent variable) has any effect on the
number of vitamins/supplements people take. State what you are testing and what
the x (independent) and y (dependent) variables are. Test for correlation and
explain the regression results, if necessary.
This test will attempt to determine
if there is a statistically significant linear
relationship between the number of
vitamins/supplements people take (dependent
variable) and their age (independent
variable).
To determine the coefficient of
correlation, the following table is completed:
x
y
x^2
xy
y^2
46
1
36
0
24
0
52
5
23
0
36
2
40
1
46
5
25
3
32
2
360
19
2) Conduct a regression
analysis to determine if age (independent variable) has any effect on the
number of alcoholic beverages someone consumes in one month. State what you are
testing and what the x (independent) and y (dependent) variables are. Test for
correlation and explain the regression results, if necessary.
This test will attempt to determine
if there is a statistically significant linear
relationship between the number of alcoholic
beverages consumed per month
(dependent variable) and their age
(independent variable).
This solution will follow the same
pattern as the above solution.
The table of sums and product for
the two variables is shown below:
x
y
x^2
xy
y^2
46
5
36
10
24
16
52
0
23
6
36
10
40
15
46
5
25
0
32
18
360
85