Board gage.com/static/nb/ui/indexhtmi?nbld-5914688nb Search AP Cristina Conti 9

Question

Board gage.com/static/nb/ui/indexhtmi?nbld-5914688nb Search AP Cristina Conti 9 at 11:59 PM EST Video Exerase 14.50 (Algorithmic) Consider the following data for two variables, x and y. Xi 140 115 130 145 175 160 120 i 145 105 120 120 135 135 115 a. Compute the standardized residuals for these data (to 2 decimals). Enter negative values as negative figure, if necessary. observation 12.15 Observation 2 -0.79 Observation 30.17 Observation 40.61 observation 5 0.28 observation 6-0.13 observation 70.5 3 Do the data include any outliers? Yes, there appears to be an outlier. b. Which of the following plots the standardized residuals against y 1. StandardzedResidual aFitted Value

Explanation / Answer

On prerforming regression analysis we get regression equation as

ycap = 60.2642 + 0.4601x

using this equation we can find the predicted values of y and redidual = yi - ypredicted

Observation Predicted yi yi Residual = yi - y(predicted) 1 124.6714 145 20.33 2 113.1701 105 -8.17 3 120.0709 120 -0.07 4 126.9716 120 -6.97 5 140.7732 135 -5.77 6 133.8724 135 1.13 7 115.4704 115 -0.47

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