Problem 1
A researcher is interested in evaluating whether there is a relationship between number of packs of cigarettes smoked per day and longevity (in years). n=10.
|
# packs of cigarettes smoked
(X)
|
Longevity (Y)
|
|
0
|
|
80
|
|
0
|
|
70
|
|
1
|
|
72
|
|
1
|
|
70
|
|
2
|
|
68
|
|
2
|
|
65
|
|
3
|
|
69
|
|
3
|
|
60
|
|
4
|
|
58
|
|
4
|
|
55
|
1. Evaluate the correlation coefficient.
2. Evaluate the coefficient of determination
3. Evaluate the regression coefficient b1
4. Evaluate the regression coefficient b0
5. The regression equation
6. Excel regression analysis
Problem 2: A researcher is interested in determining whether there is a relationship between advertising and sales for her firm.
|
advertising in $thousands(X)
|
Sales in millions(Y)
|
|
1
|
0
|
|
1
|
1
|
|
2
|
4
|
|
4
|
5
|
|
5
|
5
|
|
6
|
7
|
|
6
|
8
|
|
6
|
7
|
|
7
|
8
|
|
10
|
11
|
|
11
|
12
|
Problem 3:
A researcher is interested in determining whether there is a relationship between price and quantity demanded for her firm.
|
Price(X)
|
Q-demanded(Y)
|
|
2
|
95
|
|
3
|
90
|
|
4
|
80
|
|
5
|
78
|
|
6
|
72
|
|
7
|
69
|
|
8
|
71
|
|
9
|
70
|
|
10
|
60
|
|
11
|
50
|
|
12
|
44
|
Problem 4:
A researcher is interested in determining whether there is a relationship between grades and hours studied for statistics.
|
Hours studied(X)
|
Grade on final(Y)
|
|
1
|
20
|
|
2
|
25
|
|
4
|
40
|
|
7
|
60
|
|
6
|
62
|
|
7
|
72
|
|
8
|
83
|
|
9
|
95
|