A statistical program is recommended. Consider the following data for two variables, x and y. xi 4 5 7 8 10 12 12 22 yi 12 14 16 15 17 20 24 19 (a) Compute the standardized residuals for these data. (Round your answers to two decimal places.) xi yi Standardized Residuals 4 12 5 14 7 16 8 15 10 17 12 20 12 24 22 19 Do the data include any outliers? Explain. There are no standardized residuals that are less than −2 or greater than +2, so there are no possible outliers.There is one standardized residuals that is less than −2 or greater than +2, so there is one possible outlier. There are two standardized residuals that are less than −2 or greater than +2, so there are two possible outliers.There are more than two standardized residuals that are less than −2 or greater than +2, so there are more than two possible outliers. (b) Compute the leverage values for these data. (Round your answers to two decimal places.) xi yi Leverage Values 4 12 5 14 7 16 8 15 10 17 12 20 12 24 22 19

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Author:Amos Gilat
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A statistical program is recommended.
Consider the following data for two variables, x and y.
xi
4 5 7 8 10 12 12 22
yi
12 14 16 15 17 20 24 19
(a)
Compute the standardized residuals for these data. (Round your answers to two decimal places.)
xi
yi
Standardized Residuals
4 12  
5 14  
7 16  
8 15  
10 17  
12 20  
12 24  
22 19  
Do the data include any outliers? Explain.
There are no standardized residuals that are less than −2 or greater than +2, so there are no possible outliers.There is one standardized residuals that is less than −2 or greater than +2, so there is one possible outlier.     There are two standardized residuals that are less than −2 or greater than +2, so there are two possible outliers.There are more than two standardized residuals that are less than −2 or greater than +2, so there are more than two possible outliers.
(b)
Compute the leverage values for these data. (Round your answers to two decimal places.)
xi
yi
Leverage Values
4 12  
5 14  
7 16  
8 15  
10 17  
12 20  
12 24  
22 19  
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