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In order to forecast enrollment for next fall, XYZ University of the CBA wishes to forecast enrollment. The enrollment is calculated as both full-time equivalents and part-time equivalents, which represent the number of full-time students. The following is the enrollment data for the past ten years: Time(t) Enrollment .. 1 907 2 981 3 1014 4 1015 1050

In order to forecast enrollment for next fall, XYZ University of the CBA wishes to forecast enrollment. The enrollment is calculated as both full-time equivalents and part-time equivalents, which represent the number of full-time students. The following is the enrollment data for the past ten years: Time(t) Enrollment .. 1 907 2 981 3 1014 4 1015 1050

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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In order to forecast enrollment for next fall, XYZ University of the CBA wishes to forecast enrollment. The enrollment is calculated as both full-time equivalents and part-time equivalents, which represent the number of full-time students. The following is the enrollment data for the past ten years: Time(t) Enrollment ... 907 2 981 3 1014 4 1015 5 1050 6 1071 7 1123 8 1118 9. 1175 10 1216 Tasks: 1. Make a scatterplot. Does the data seem to be trending linearly? 2. Calculate the Et Ey, and Ety. 3. How much does the slope mean? 4. How can the slope be interpreted? 5. What is the y-intercept of the line? 6. What does the y-intercept mean? 7. Calculate the enrollment for next year.
Transcribed Image Text:In order to forecast enrollment for next fall, XYZ University of the CBA wishes to forecast enrollment. The enrollment is calculated as both full-time equivalents and part-time equivalents, which represent the number of full-time students. The following is the enrollment data for the past ten years: Time(t) Enrollment ... 907 2 981 3 1014 4 1015 5 1050 6 1071 7 1123 8 1118 9. 1175 10 1216 Tasks: 1. Make a scatterplot. Does the data seem to be trending linearly? 2. Calculate the Et Ey, and Ety. 3. How much does the slope mean? 4. How can the slope be interpreted? 5. What is the y-intercept of the line? 6. What does the y-intercept mean? 7. Calculate the enrollment for next year.
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