Data for two variables, a and y, follow. 22 24 25 28 40 * 12 21 31 35 70 a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. ŷ =51.01 8+ 3.05 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 27.8 8 24 21 25 31 28 35 40 70 Can any of these observations be classified as an outlier? Explain.
Data for two variables, a and y, follow. 22 24 25 28 40 * 12 21 31 35 70 a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. ŷ =51.01 8+ 3.05 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 27.8 8 24 21 25 31 28 35 40 70 Can any of these observations be classified as an outlier? Explain.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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this is not graded, the x comes from clicking check my work. A previous tutor gave me incorrect answers.
Transcribed Image Text:Hint(s) Check My Work
Data for two variables, x and y, follow.
22
24
25
28
40
12 21
31
35
70
a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number.
=
51.01
+
3.05
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
27.8
24
21
25
31
28
35
40
70
Can any of these observations be classified as an outlier? Explain.
Expert Solution
Step 1
Step-by-step procedure to find the regression equation using Excel:
- In Excel sheet, enter x in one column and enter Y in one column.
- In Data, select Data Analysis and choose Regression.
- In Input Variable x Range, select x.
- In Input Variable x Range, select Y
- Click Residuals and Residual Plot.
- Click Labels.
- Click Ok.
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