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(Solved): Using the accompanying Home Market Value data and associated regression line, Market Value \( =\$ 2 ...




Using the accompanying Home Market Value data and associated regression line, Market Value \( =\$ 27,576+\$ 37.577 \times \)
Home Market Value Data
\( \begin{array}{lc}1485 & 79,900 \\ 1586 & 81,500 \\ 1600 & 87,100 \\ 1483 & 82,700 \\ 1483 & 78,700 \\ 1521 & 87,600 \\ 170
Using the accompanying Home Market Value data and associated regression line, Market Value \( =\$ 27,576+\$ 37.577 \times \) Square Feet, compute the errors associated with each observation using the formula \( e_{1}=Y_{1}-\widehat{Y}_{1} \) and construct a frequency distribution and histogram. Click the icon to view the Home Market Value data. Construct a frequency distribution of the errors, \( e_{i} \). Home Market Value Data \( \begin{array}{lc}1485 & 79,900 \\ 1586 & 81,500 \\ 1600 & 87,100 \\ 1483 & 82,700 \\ 1483 & 78,700 \\ 1521 & 87,600 \\ 1700 & 94,300 \\ 1485 & 82,000 \\ 1468 & 88,460 \\ 1520 & 88,200 \\ 1521 & 88,500 \\ 1484 & 76,700 \\ 1522 & 84,500 \\ 1669 & 90,900 \\ 1590 & 80,900 \\ 1784 & 91,400 \\ 1484 & 81,400 \\ 1519 & 100,800 \\ 1521 & 87,100 \\ 1685 & 96,600 \\ 1582 & 82,200\end{array} \)


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Sq. feet Market value Predicted Residual= observed - predicted 1811 95600 95627.95 -27.947 1916 104500 99573.53 4926.468 1844 93200 96867.99 -3667.99 1812 90900 95665.52 -4765.52 1837 101800 96604.95 5195.051 2028 108500 103782.2 4717.844 1732 87500
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