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1.  In the space below (or on a separate sheet of paper), plot all observations of the table above and draw the OLS regression line. You can estimate the slope and constant of the OLS regression line by hand, with Stata, or with Excel (you don’t have to show your workings). Don’t forget to label the axes.    2. The slope coefficient for a regression of Y on X is 3. The constant of a regression of Y on X is  4. The residual for the first observation in the table is 5. The average value of the residuals is

1.  In the space below (or on a separate sheet of paper), plot all observations of the table above and draw the OLS regression line. You can estimate the slope and constant of the OLS regression line by hand, with Stata, or with Excel (you don’t have to show your workings). Don’t forget to label the axes.    2. The slope coefficient for a regression of Y on X is 3. The constant of a regression of Y on X is  4. The residual for the first observation in the table is 5. The average value of the residuals is

MATLAB: An Introduction with Applications
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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1.  In the space below (or on a separate sheet of paper), plot all observations of the table above and draw the OLS regression line. You can estimate the slope and constant of the OLS regression line by hand, with Stata, or with Excel (you don’t have to show your workings). Don’t forget to label the axes. 

 

2. The slope coefficient for a regression of Y on X is

3. The constant of a regression of Y on X is 

4. The residual for the first observation in the table is

5. The average value of the residuals is 

Y 35∞027 8 X 1 4 3 1 6
Transcribed Image Text:Y 35∞027 8 X 1 4 3 1 6
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