Data for two variables, x and y, follow.
xi
1 2 3 4 5
yi
5 9 7 13 16
(a)
Develop the estimated regression equation for these data. (Round
your numerical values to two decimal places.)
ŷ = 2.20+2.60x
Compute the studentized deleted residuals for these data. (Round your answers to two decimal places.)
xi |
yi |
Studentized Deleted Residual |
---|---|---|
1 | 5 | |
2 | 9 | |
3 | 7 | |
4 | 13 | |
5 | 16 |
x | y | xy | x² | y² |
1 | 5 | 5 | 1 | 25 |
2 | 9 | 18 | 4 | 81 |
3 | 7 | 21 | 9 | 49 |
4 | 13 | 52 | 16 | 169 |
5 | 16 | 80 | 25 | 256 |
Σx=15 | Σy=50 | Σxy=176 | Σx²=55 | Σy²=580 |
Observation | Predicted y | Residuals | Standard Residuals |
1 | 4.8 | 0.2 | 0.113592 |
2 | 7.4 | 1.6 | 0.908739 |
3 | 10 | -3 | -1.70389 |
4 | 12.6 | 0.4 | 0.227185 |
5 | 15.2 | 0.8 | 0.454369 |
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