Consider the following data for two variables, x and y. X i 4 5 7 8. 10 12 12 22 y i 12 14 16 15 18 20 24 19 Enter negative values as negative numbers. a. Compute the standardized residuals for these data (to 2 decimals). Observation 1 -1 Observation 2 -0.40 Observation 3 0.01 Observation 4 -.48 Observation 5 .25 Observation 6 .65 Observation 7 2.00 Observation 8 -2.16 Do the data include any outliers? Yes, there appear to be 2 outliers b. Compute the leverage values for these data (to 2 decimals). Observation 1 .28 Observation 2 .24 Observation 3 .16 Observation 4 .14 Observation 5 .13 Observation 6 .14
Consider the following data for two variables, x and y. X i 4 5 7 8. 10 12 12 22 y i 12 14 16 15 18 20 24 19 Enter negative values as negative numbers. a. Compute the standardized residuals for these data (to 2 decimals). Observation 1 -1 Observation 2 -0.40 Observation 3 0.01 Observation 4 -.48 Observation 5 .25 Observation 6 .65 Observation 7 2.00 Observation 8 -2.16 Do the data include any outliers? Yes, there appear to be 2 outliers b. Compute the leverage values for these data (to 2 decimals). Observation 1 .28 Observation 2 .24 Observation 3 .16 Observation 4 .14 Observation 5 .13 Observation 6 .14
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Related questions
Question

Transcribed Image Text:еВook
Consider the following data for two variables, x and y.
4
7
8
10
12
12
22
y i
12
14
16
15
18
20
24
19
Enter negative values as negative numbers.
a. Compute the standardized residuals for these data (to 2 decimals).
Observation 1
-1
Observation 2
-0.40
Observation 3
0.01
Observation 4
-.48
Observation 5
.25
Observation 6
.65
Observation 7
2.00
Observation 8
-2.16
Do the data include any outliers?
Yes, there appear to be 2 outliers
b. Compute the leverage values for these data (to 2 decimals).
Observation 1
.28
Observation 2
.24
Observation 3
.16
Observation 4
.14
Observation 5
.13
Observation 6
.14
Observatio

Transcribed Image Text:5
5
10
15
20
25
Scatter Diagram #3
30
25
20
A 15
10
5
5
10
15
20
25
Which scatter diagram accurately represents the data?
Scatter diagram #1 ♥
Does the scatter diagram indicate any influential observations? Explain.
If the leverage for an observation is greater
, it is considered to have high leverage.
Thus, we would conclude that observation 8
is an influential observation.
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