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JulijaS [17]
3 years ago
5

Suppose a gas station monitors how many bags of ice they sell along with the maximum daily temperature for 100 days. A gas stati

on 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 = 0.9952 . The mean temperature is 84.1259 °F with a standard deviation of 9.6121 °F. The mean number of ice bags sold is 71.1173 with a standard deviation of 30.2413. Determine the slope, b , and the intercept, a , of the least-squares regression line for this dataset, precise to two decimal places.

Mathematics
1 answer:
kogti [31]3 years ago
4 0

Answer:

Slope=b= 2.46

Intercept=a= -135

No. of bags sold= 78 at 87 F temperature

Complete solution with calculation is given in the pictures attached.

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