A college faculty collected data on his studens' score in the first exam and their first quiz. Look for the image for table. Supposed that the value of regression constant is 9.1410114235 and regression Coefficient is 0.90613879, try to interpret this or describe this data in an in-depth manner. Note: no calculation anymore, just interpretation of the data. Example of expected answer: The coefficient of determination gives the amount of variation in the model explained by the factor considered in the model. Here only 1.74% of the variation is explained by the independent variable. Therefore, we can conclude that the high school grade is not much associated with the general weighted average.
A college faculty collected data on his studens' score in the first exam and their first quiz. Look for the image for table. Supposed that the value of regression constant is 9.1410114235 and regression Coefficient is 0.90613879, try to interpret this or describe this data in an in-depth manner. Note: no calculation anymore, just interpretation of the data. Example of expected answer: The coefficient of determination gives the amount of variation in the model explained by the factor considered in the model. Here only 1.74% of the variation is explained by the independent variable. Therefore, we can conclude that the high school grade is not much associated with the general weighted average.
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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A college faculty collected data on his studens' score in the first exam and their first quiz.
Look for the image for table.
Supposed that the value of regression constant is 9.1410114235
and regression Coefficient is 0.90613879, try to interpret this or describe this data in an in-depth manner.
Note: no calculation anymore, just interpretation of the data.
Example of expected answer: The coefficient of determination gives the amount of variation in the model explained by the factor considered in the model. Here only 1.74% of the variation is explained by the independent variable. Therefore, we can conclude that the high school grade is not much associated with the general weighted average.
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