Question

{Exercise 16.5} Dataset: Temperature Beers 80 20,533 68 1,439 78 13,829 79 21,286 87 30,985 74...

{Exercise 16.5}

Dataset:

Temperature Beers
80 20,533
68 1,439
78 13,829
79 21,286
87 30,985
74 17,187
86 30,240
92 37,596
77 9,610
84 28,742

To help determine how many beers to stock the concession manager at Yankee Stadium wanted to know how the temperature affected beer sales. Accordingly, she took a sample of 10 games and recorded the number of beers sold and the temperature in the middle of the game.

a) Compute the coefficients of the regression line (to integer).

bo = __________

b1 =__________

b) Interpret the coefficients.

For each additional one degree increase in temperature the number of beers sold _______on average by _________ .

Homework Answers

Answer #1

a) Here is the scatter plot and the linear reg line:

a) The linear reg line is :Beer = 1513.3(temp)-100678

b) A degree rise in temperature will lead to 1513.3 units of sale of beer. ( that ' how the slope or the coefficient of slope is intrepreted)

When the temperature is zero, then the Beer required become the contant coefficient which is negative. Implying that the there isn't beer consumption at low temperatures, which makes absolute sense.

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