1
answer
0
watching
190
views
lilacfly250Lv1
1 Oct 2020
The table shows data collected on the relationship between the average daily temperature and coffee sales (in hundreds of dollars) at a coffee shop. The line of best fit for the data is ŷ =−0.68x+85.1. Assume the line of best fit is significant and there is a strong linear relationship between the variables.
According to the line of best fit, what would be the predicted number of coffee sales (in hundreds of dollars) for an average daily temperature of 32 degrees? Round your answer to two decimal places, as needed.
Temperature (Degrees)
Coffee Sales (in hundreds of dollars)
30
65
40
58
50
50
60
45
The table shows data collected on the relationship between the average daily temperature and coffee sales (in hundreds of dollars) at a coffee shop. The line of best fit for the data is ŷ =−0.68x+85.1. Assume the line of best fit is significant and there is a strong linear relationship between the variables.
According to the line of best fit, what would be the predicted number of coffee sales (in hundreds of dollars) for an average daily temperature of 32 degrees? Round your answer to two decimal places, as needed.
| Temperature (Degrees) | Coffee Sales (in hundreds of dollars) |
| 30 | 65 |
| 40 | 58 |
| 50 | 50 |
| 60 | 45 |
2 Jun 2021
