A statistical program is recommended. Consider the following data for two variables, x and y. * 4 5 7 8 10 12 12 22 V; 12 14 16 15 18 20 25 19 (a) Compute the standardized residuals for these data. (Round your answers to two decimal places.) xy Standardized Residuals 4 12 -0.86 x 5 14 -0.37 x 7 16 -0.02 ✓ 8 15 -0.47 10 18 0.19 12 20 0.54 12 25 2.09 22 19 -1.12 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.) * Leverage Values 4 12 5 14 7 16 8 15 10 18 12 20 12 25 22 19 Do there appear to be any influential observations in these data? Explain. Minitab identifies an observation as having high leverage if h,>; for these data, Since the leverage for the observation at (x, y) = ( [ is greater than we conclude that this observation is an influential observation.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A statistical program is recommended.
Consider the following data for two variables, x and y.
* 4 5 7 8 10 12 12 22
V; 12 14 16 15 18 20 25 19
(a) Compute the standardized residuals for these data. (Round your answers to two decimal places.)
xy Standardized Residuals
4
12
-0.86
x
5
14
-0.37
x
7
16
-0.02
✓
8
15
-0.47
10
18
0.19
12
20
0.54
12 25
2.09
22
19
-1.12
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.)
* Leverage Values
4 12
5
14
7
16
8
15
10 18
12 20
12
25
22
19
Do there appear to be any influential observations in these data? Explain.
Minitab identifies an observation as having high leverage if h,>; for these data,
Since the leverage for the observation at (x, y) = ( [
is greater than
we conclude that this observation is an influential observation.
Transcribed Image Text:A statistical program is recommended. Consider the following data for two variables, x and y. * 4 5 7 8 10 12 12 22 V; 12 14 16 15 18 20 25 19 (a) Compute the standardized residuals for these data. (Round your answers to two decimal places.) xy Standardized Residuals 4 12 -0.86 x 5 14 -0.37 x 7 16 -0.02 ✓ 8 15 -0.47 10 18 0.19 12 20 0.54 12 25 2.09 22 19 -1.12 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.) * Leverage Values 4 12 5 14 7 16 8 15 10 18 12 20 12 25 22 19 Do there appear to be any influential observations in these data? Explain. Minitab identifies an observation as having high leverage if h,>; for these data, Since the leverage for the observation at (x, y) = ( [ is greater than we conclude that this observation is an influential observation.
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