Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.
x |
1414 |
1212 |
1515 |
88 |
1010 |
77 |
1313 |
99 |
1111 |
66 |
55 |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|
y |
8.348.34 |
9.469.46 |
7.247.24 |
7.467.46 |
9.189.18 |
6.086.08 |
9.089.08 |
8.508.50 |
9.509.50 |
4.344.34 |
2.242.24 |
ModifyingAbove y with caret y=______+______x
(Round to two decimal places as needed.)
X | y | XY | X^2 | Y^2 |
14 | 8.34 | 116.76 | 196 | 69.5556 |
12 | 9.46 | 113.52 | 144 | 89.4916 |
15 | 7.24 | 108.6 | 225 | 52.4176 |
8 | 7.46 | 59.68 | 64 | 55.6516 |
10 | 9.18 | 91.8 | 100 | 84.2724 |
7 | 6.08 | 42.56 | 49 | 36.9664 |
13 | 9.08 | 118.04 | 169 | 82.4464 |
9 | 8.5 | 76.5 | 81 | 72.25 |
11 | 9.5 | 104.5 | 121 | 90.25 |
6 | 4.34 | 26.04 | 36 | 18.8356 |
5 | 2.24 | 11.2 | 25 | 5.0176 |
From the above table and formula we get thecvalue are as;
n | 11 |
sum(XY) | 869.20 |
sum(X) | 110.00 |
sum(Y) | 81.42 |
sum(X^2) | 1210.00 |
sum(Y^2) | 657.15 |
b | 0.5000 |
a | 2.4018 |
ModifyingAbove y with caret y = a + bx
y = 2.40 + 0.50x
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