Data for two variables, z and y, follow. 22 24 25 28 41 12 22 31 35 70 a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. -51.01 + 3.0s 3 b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number. Standardized Residual 22 12 10 8 24 22 25 31 28 35 41 70 Can any of these observations be classified as an outlier? Explain. No O of the standardized residuals are less than -2 or greater than 2, nene VO of the observations can be classified as an outlier. Because none c. Develop a standardized residual plot for y.

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Chapter1: Starting With Matlab
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Trying to find the answer to A and B (all x's)

Hint(s) Check My Work
Data for two variables, a and y, follow.
22
24
25
28 41
12
22
31
35
70
a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number.
ŷ = -51.01
3.05 8 z
+
b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number.
Standardized
Residual
22
12
10
24
22
25
31
28
35
41
70
Can any of these observations be classified as an outlier? Explain.
No
Because none
of the standardized residuals are less than -2 or greater than 2, none
of the observations can be classified as an outlier.
c. Develop a standardized residual plot for ŷ.
Transcribed Image Text:Hint(s) Check My Work Data for two variables, a and y, follow. 22 24 25 28 41 12 22 31 35 70 a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. ŷ = -51.01 3.05 8 z + b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number. Standardized Residual 22 12 10 24 22 25 31 28 35 41 70 Can any of these observations be classified as an outlier? Explain. No Because none of the standardized residuals are less than -2 or greater than 2, none of the observations can be classified as an outlier. c. Develop a standardized residual plot for ŷ.
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