A study is conducted to determine the simple linear regression relation (if any) between average temperature over a week and ice-cream sales in a particular city. The following table provides the regression data required to construct the model:
Average Temperature and Ice-cream Sales | |||
---|---|---|---|
Average Temperature over a Week (°F) |
Weekly Ice-cream Sales ($'000s) |
||
38 | 95.512 | ||
78 | 139.092 | ||
39 | 96.298 | ||
49 | 108.688 | ||
89 | 152.288 | ||
56 | 116.48 | ||
71 | 132.61 | ||
70 | 130.454 | ||
95 | 159.834 | ||
72 | 133.896 | ||
96 | 159.75 | ||
55 | 114.594 |
Calculate the slope (b1) and intercept (b0) of the simple regression equation using the data provided. Give your answers to 2 decimal places.
(a)Slope = b1 = ________
(b)Intercept = b0 = _______
We have to find a slope and intercept.
= 67.3333
= 128.2913
n = 12
x | y | xy | x^2 | |
38 | 95.512 | 3629.456 | 1444 | |
78 | 139.092 | 10849.18 | 6084 | |
39 | 96.298 | 3755.622 | 1521 | |
49 | 108.688 | 5325.712 | 2401 | |
89 | 152.288 | 13553.63 | 7921 | |
56 | 116.48 | 6522.88 | 3136 | |
71 | 132.61 | 9415.31 | 5041 | |
70 | 130.454 | 9131.78 | 4900 | |
95 | 159.834 | 15184.23 | 9025 | |
72 | 133.896 | 9640.512 | 5184 | |
96 | 159.75 | 15336 | 9216 | |
55 | 114.594 | 6302.67 | 3025 | |
Total | 808 | 1539.496 | 108647 | 58898 |
a) Slope = b1 = 1.11
b)
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