Question 4 options:Cola Consumption
The following data were taken from a study relating the Days High
Temperature to the Average Amount of Cola Consumed (per capita) in
a small mid-western town.
Observation |
Days High Temperature |
Average Ounces of Cola Consumed |
1 |
68 |
73 |
2 |
77 |
61 |
3 |
85 |
67 |
4 |
96 |
83 |
5 |
64 |
30 |
6 |
80 |
56 |
7 |
69 |
57 |
8 |
59 |
53 |
9 |
94 |
79 |
10 |
90 |
79 |
11 |
50 |
53 |
12 |
59 |
47 |
13 |
97 |
80 |
14 |
82 |
64 |
15 |
70 |
65 |
16 |
104 |
80 |
17 |
91 |
75 |
18 |
99 |
101 |
19 |
104 |
84 |
20 |
98 |
91 |
Given the 20 Observations above, use a Regression Tool like
DATA ANALYSIS in Excel and find each of the
following:
Slope of Regression Equation =
Hint: Value should be between 0.75 and 1.45
Y Intercept for the Regression Equation =
Correlation Coefficient =
(Round to Nearest 100th, e.g., 0.9762123 =
0.98)
Coefficient of Determination =
(Round to Nearest 100th, e.g., 0.95299 = 0.95)
Using your Regression Equation, Predict Cola Consuption
when the High Temperature = 23:
ColaConsumption (23)=
Unless otherwise stated, Round all answers to the
nearest “100th”, e.g., 16.41234 =
16.41 Enter whole numbers like 24
as 24.00
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