The following table shows the sets of data $\left(x,y\right)$(`x`,`y`) and the predicted $\hat{y}$^`y` values based on a least-squares regression line. Complete the table by finding the residuals.

$x$x-values |
$1$1 | $3$3 | $5$5 | $7$7 | $9$9 |
---|---|---|---|---|---|

$y$y-values |
$22.7$22.7 | $22.3$22.3 | $24.2$24.2 | $21.8$21.8 | $21.5$21.5 |

$\hat{y}$^y |
$25.2$25.2 | $23.4$23.4 | $21.6$21.6 | $19.8$19.8 | $18$18 |

Residuals | $\editable{}$ | $\editable{}$ | $\editable{}$ | $\editable{}$ | $\editable{}$ |

Easy

Approx 2 minutes

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use a residual plot to assess the appropriateness of fitting a linear model to the data