Anna set up a lemonade stand on her block over the summer. She recorded each 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 was fairly linear, so she used her data to calculate the following least squares regression equation for predicting lemonade sales, in cups, from the daily high temperature, in degrees Fahrenheit:
y^=−34+(3/5)x
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relationship between her two variables was fairly linear, so she used her data to calculate the following least squares regression equation for predicting lemonade sales, in cups, from the daily high temperature, in degrees Fahrenheit:
y^=−34+(3
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