In order to earn a little extra money, Anna set up a lemonade stand on her block over the summer. Suspecting that there might be a relationship between the temperature and the amount of lemonade she sells, Anna recorded the day’s high temperature and the number of cups of lemonade she sold for $10$ days. After plotting her results, Anna noticed that the relationship between her two variables appeared fairly linear, so she used technology to calculate the equation of the least-squares regression line.
The figure below shows the computer regression output.
Predictor | Coef | SE Coef |T| P|
- | - | -
**Constant** | $-33.704$ | $0.134$ | $20.678$ | $0.000$
**Temperature**| $0.6012$| $0.057$| $4.0456$|$0.004$
$S=1.926\quad R\text{-}Sq=67.168\%\quad R\text{-}Sq (adj) = 60.581\%$
**Use the information in the regression output to predict Anna's lemonade sales when the daily high temperature is $85^{\circ}F$.**
*Round your answer to the nearest integer value.*
[[☃ numeric-input 1]] cups of lemonade.