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**| $0.6012$| $0.057$| $4.0456$|$0.004$ $S=1.926\quad R\text{-}Sq=67.168\%\quad R\text{-}Sq (adj) = 60.581\%$ **Which of the following is the best interpretation of the slope of Anna's least-squares regression line?** [[☃ radio 1]]