Suppose a gas station monitors how many bags of ice they sell along with the maximum daily…

Suppose a gas station monitors how many bags of ice they sell along with the maximum daily temperature for 100 days. A gas station data analyst plots the data in a scatter plot with temperature, in °F, on the horizontal axis and the number of bags of ice sold on the vertical axis. She calculates a linear correlation coefficient of r = 0.9891. The mean temperature is 84.5159°F with a standard deviation of 11.8321 °F. The mean number of ice bags sold is 69.3473 with a standard deviation of 25.9313. Determine the slope, b, and the intercept, a, of the least-squares regression line for this dataset, precise to two decimal places. b= Predict how many bags of ice are sold, ý, to the nearest whole number, when the temperature is 87.00°F. y =

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