Based on the data shown below, calculate the regression line
(each value to two decimal places)
y = x +
x | y |
---|---|
4 | 31.84 |
5 | 31.2 |
6 | 28.26 |
7 | 24.52 |
8 | 25.28 |
9 | 21.34 |
10 | 21.9 |
11 | 17.86 |
12 | 15.92 |
13 | 14.78 |
14 | 11.04 |
15 | 11.1 |
The table given below ,
x | y | x^2 | xy | |
4 | 31.84 | 16 | 127.36 | |
5 | 31.2 | 25 | 156 | |
6 | 28.26 | 36 | 169.56 | |
7 | 24.52 | 49 | 171.64 | |
8 | 25.28 | 64 | 202.24 | |
9 | 21.34 | 81 | 192.06 | |
10 | 21.9 | 100 | 219 | |
11 | 17.86 | 121 | 196.46 | |
12 | 15.92 | 144 | 191.04 | |
13 | 14.78 | 169 | 192.14 | |
14 | 11.04 | 196 | 154.56 | |
15 | 11.1 | 225 | 166.5 | |
Total | 114 | 255.04 | 1226 | 2138.56 |
From table ,
The slope of the regression equation is ,
The intercept of the regression equation is ,
Therefore , the regression equation is ,
y = a + bx = 40.16 - 1.99x
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