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.