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Question
2.5 hours, 79
problem 4
the table below gives the height and shoe size of 6 randomly selected students.
| height (in) | 67 | 70 | 73.5 | 75 | 78 | 66 |
| shoe size | 8.5 | 9.5 | 11 | 12 | 13 | 8 |
regression equation:
if a student is 73 inches tall what is his or her predicted shoe size?
if a student is 60 inches tall what is his or her predicted shoe size?
Step1: Calculate the regression coefficients
Let \(x\) be the height and \(y\) be the shoe - size. First, calculate the following sums:
Let \(n = 6\).
\(\sum_{i = 1}^{n}x_{i}=67 + 70+73.5 + 75+78+66=429.5\)
\(\sum_{i = 1}^{n}y_{i}=8.5 + 9.5+11+12+13+8=62\)
\(\sum_{i = 1}^{n}x_{i}^{2}=67^{2}+70^{2}+73.5^{2}+75^{2}+78^{2}+66^{2}=67^{2}+4900 + 5402.25+5625+6084+4356=31147.25\)
\(\sum_{i = 1}^{n}x_{i}y_{i}=67\times8.5+70\times9.5 + 73.5\times11+75\times12+78\times13+66\times8\)
\(=569.5+665+808.5+900+1014+528=4485\)
The slope \(b\) of the regression line \(\hat{y}=a + bx\) is given by:
The intercept \(a\) is given by:
where \(\bar{x}=\frac{\sum_{i = 1}^{n}x_{i}}{n}=\frac{429.5}{6}\approx71.5833\) and \(\bar{y}=\frac{\sum_{i = 1}^{n}y_{i}}{n}=\frac{62}{6}\approx10.3333\)
So the regression equation is \(\hat{y}=2 + 0.1164x\)
Step2: Predict shoe - size for \(x = 73\)
Substitute \(x = 73\) into the regression equation \(\hat{y}=2+0.1164\times73\)
\(\hat{y}=2 + 8.4972=10.4972\approx10.5\)
Step3: Predict shoe - size for \(x = 60\)
Substitute \(x = 60\) into the regression equation \(\hat{y}=2+0.1164\times60\)
\(\hat{y}=2+6.984 = 8.984\approx9\)
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Regression Equation: \(\hat{y}=2 + 0.1164x\)
If a student is 73 inches tall, the predicted shoe - size is approximately 10.5
If a student is 60 inches tall, the predicted shoe - size is approximately 9