Hailey sold 76 hot cocoas, predicting a high of 22 degrees Fahrenheit, based on the graph's trendline and their relationship.
The graph shows the relationship between the number of hot cocoas sold relative to the day's high temperature and the line of best fit. The line of best fit shows that the number of hot cocoas sold is positively related to the day's high temperature. This means that as the temperature increases, the number of hot cocoas sold also increases.
To predict the day's high temperature if Hailey sold 76 hot cocoas, you can follow these steps:
1. Find the point on the line of best fit that is directly above 76 on the "Hot Cocoas Sold" axis.
2. Move horizontally to the left from this point until you reach the "High Temperature (Degrees Fahrenheit)" axis.
3. The number you read on the "High Temperature (Degrees Fahrenheit)" axis is your prediction for the day's high temperature.
In this case, the point on the line of best fit that is directly above 76 on the "Hot Cocoas Sold" axis is at about (76, 92). Moving horizontally to the left from this point until you reach the "High Temperature (Degrees Fahrenheit)" axis, you get to about 22 degrees Fahrenheit.
Therefore, based on the line of best fit, you would predict that the day's high temperature would be about 22 degrees Fahrenheit if Hailey sold 76 hot cocoas.
It is important to note that the line of best fit is just an estimate, and there is always some error involved in making predictions. However, the line of best fit can be a useful tool for making predictions about data that is related in a linear way.