In: Statistics and Probability
The owners of a chain of ice cream stores have the business objective of improving the forecast of daily sales so that staffing shortages can be minimized during the summer season. As a starting point, the owners decide to develop a simple linear regression model to predict daily sales based on atmospheric temperature. They select a sample of 21 consecutive days and store the results in the Excel file.
Answer the following questions:
a. In this case, which variable is the independent variable and which variable is dependent variable?
b. Assuming a linear relationship, compute the regression coefficients;
c. Predict the sales for a day in which the temperature is 83F.
d. Is there a reason to question the validity of the model? Specifically, perform:
1). Check linearity between two variables by using plot and a formal test;
2). Check whether the Error is independent by using plot and a formal test;
3). Check whether the error is normal.
4). Check whether the model has equal variance.
e. What conclusions can you reach concerning the relationship between sales and atmospheric temperature?
Temperature | Sales |
63 | 1.52 |
70 | 1.68 |
73 | 1.80 |
75 | 2.05 |
80 | 2.36 |
82 | 2.25 |
85 | 2.68 |
88 | 2.90 |
90 | 3.14 |
91 | 3.06 |
92 | 3.24 |
75 | 1.92 |
98 | 3.40 |
100 | 3.28 |
92 | 3.17 |
87 | 2.83 |
84 | 2.58 |
88 | 2.86 |
80 | 2.26 |
82 | 2.14 |
76 | 1.98 |