have the following data that identifies the discount (as a percentage) that a customer is receiving on their transaction, as well as the profit generated from that transaction.
Transaction ID | Coupon Percentage | Profit ($) |
1 | 10 | 121 |
2 | 10 | 110 |
3 | 10 | 109 |
4 | 20 | 110 |
5 | 20 | 92 |
6 | 20 | 80 |
7 | 25 | 70 |
8 | 25 | 87 |
9 | 25 | 90 |
Need answer to Which of the models below represents the linear
regression model that predicts profit as a function of coupon
percentage?
Profit= 134.10 – 2.05*(coupon percentage)
Profit = 49.11 – 0.32*(coupon percentage)
Profit = 121.64 – 5.02*(coupon percentage)
Profit = 7.93 – 0.13*(coupon percentage)
X | Y | XY | X^2 | Y^2 |
10 | 121 | 1210 | 100 | 14641 |
10 | 110 | 1100 | 100 | 12100 |
10 | 109 | 1090 | 100 | 11881 |
20 | 110 | 2200 | 400 | 12100 |
20 | 92 | 1840 | 400 | 8464 |
20 | 80 | 1600 | 400 | 6400 |
25 | 70 | 1750 | 625 | 4900 |
25 | 87 | 2175 | 625 | 7569 |
25 | 90 | 2250 | 625 | 8100 |
From the above table and formula we get the value are as;
n | 9 |
sum(XY) | 15215.00 |
sum(X) | 165.00 |
sum(Y) | 869.00 |
sum(X^2) | 3375.00 |
sum(Y^2) | 86155.00 |
b | -2.0476 |
a | 134.0952 |
Profit= 134.10 – 2.05*(coupon percentage)
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