1. What is the point of finding a regression equation? Think in terms of mathematical as well as application/practical. 2. Describe what each of the values tells you about your regression: 70 - 3. Is the r value (correlation coefficient) used with non-linear regression? 4. Is the coefficient of determination used with non-linear regression? 5. Tell what each value for r would indicate about a linear regression. r = -0.95 r=0.5 r = -0.1 r = 0.99 6. how do you make a prediction about an event after you have the regression equation? 7. What is it called when you try to make a prediction outside of the data that was collected? 8. Is it generally considered a good idea to make predictions outside of the domain for the data that was collected? Why?
1. What is the point of finding a regression equation? Think in terms of mathematical as well as application/practical. 2. Describe what each of the values tells you about your regression: 70 - 3. Is the r value (correlation coefficient) used with non-linear regression? 4. Is the coefficient of determination used with non-linear regression? 5. Tell what each value for r would indicate about a linear regression. r = -0.95 r=0.5 r = -0.1 r = 0.99 6. how do you make a prediction about an event after you have the regression equation? 7. What is it called when you try to make a prediction outside of the data that was collected? 8. Is it generally considered a good idea to make predictions outside of the domain for the data that was collected? Why?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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r
1. What is the point of finding a regression equation? Think in terms of mathematical as well as
application/practical.
₁²
2. Describe what each of the values tells you about your regression:
100%
3. Is the r value (correlation coefficient) used with non-linear regression?
4. Is the coefficient of determination used with non-linear regression?
5. Tell what each value for r would indicate about a linear regression.
r = -0.95
r = 0.5
r = -0.1
r = 0.99
6. how do you make a prediction about an event after you have the regression equation?
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7. What is it called when you try to make a prediction outside of the data that was collected?
8. Is it generally considered a good idea to make predictions outside of the domain for the data that
was collected? Why?
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