Question: 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
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 | 69 | 67 |
| 2 | 61 | 49 |
| 3 | 52 | 46 |
| 4 | 89 | 88 |
| 5 | 76 | 94 |
| 6 | 97 | 96 |
| 7 | 90 | 82 |
| 8 | 102 | 110 |
| 9 | 104 | 103 |
| 10 | 86 | 81 |
| 11 | 68 | 62 |
| 12 | 94 | 84 |
| 13 | 58 | 56 |
| 14 | 69 | 76 |
| 15 | 99 | 94 |
| 16 | 85 | 87 |
| 17 | 75 | 78 |
| 18 | 83 | 80 |
| 19 | 94 | 116 |
| 20 | 50 | 69 |
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 0.18 and 1.48 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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