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eBook Video Consider the following data for two variables, z and y. i 135 110 130 145 175 160 120 i 145 100 120 120 130 130 1
2. 120 100 80 60 40 20 110-120-130 140 150 160 170 3. 120 100 80 60 40 20 110一一120一一130 -149 130-100-170
120 100 80 60 40 20 130-140-150一一160一一1zo___ 110 120 The correct diagram is: Does the scatter diagram indicate any outliers i
Practice Observation 5 Observation 6 Observation 7 Do the data include any outliers? Yes, there appears to be an outlier. Whi
2. StandardizedResidual 193 119 113 0131 13 14 14 Fitted Vel 3. Standardzed Residual Value
14.9 Practice 4. StandardizedResidual The correct diagram is: Does this plot reveal any outliers? Yes Hide Feedback Partially
eBook Video Consider the following data for two variables, z and y. i 135 110 130 145 175 160 120 i 145 100 120 120 130 130 110 a. Consider the four scatter diagrams below. 1. 120 100 80 " " 60 40 20 110-120 130 149-150 160 170
2. 120 100 80 60 40 20 110-120-130 140 150 160 170 3. 120 100 80 60 40 20 110一一120一一130 -149 130-100-170
120 100 80 60 40 20 130-140-150一一160一一1zo___ 110 120 The correct diagram is: Does the scatter diagram indicate any outliers in the data? In general, what implications does this finding have for simple linear regression? The outlier can be identified by looking at the scatter diagram. b. Compute the standardized residuals for these data. (to 4 decimal places, enter negative values as negative numbers.) Observation 1 Observation 2 Observation 3 Observation 4
Practice Observation 5 Observation 6 Observation 7 Do the data include any outliers? Yes, there appears to be an outlier. Which of the following plots the standardized residuals against i 1. StandardizedResidual Fitted Value 195 110 115 920 125 130 135 140 145 2. StandardizedResidual
2. StandardizedResidual 193 119 113 0131 13 14 14 Fitted Vel 3. Standardzed Residual Value
14.9 Practice 4. StandardizedResidual The correct diagram is: Does this plot reveal any outliers? Yes Hide Feedback Partially Correct
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Answer #1

Using Excel

data -> data analysis -> regression

click on standard residuals

b)

Observation Standard Residuals
1 2.1346
2 -0.8997
3 0.1383
4 -0.3857
5 -0.5654
6 -0.0414
7 -0.3807

c)

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