The following table contains the scores from a group of 15 high school seniors on a psychological assessment of positive affect for the subject of math and their scores on the same assessment for the subject of chemistry. The assessment measures the strength of the student’s positive feelings towards the subject on a 40-point scale, with 40 being the most positive. Positive Affect Assessment Score for Math Assessment, x Score for Chemistry Assessment, y 16 21 12 6 7 16 16 10 22 16 14 19 26 22 12 27 35 26 2 5 29 27 33 39 26 25 37 32 36 29Copy Data Step 1 of 2 : Calculate the sum of squared errors, SSESSE, based on a regression analysis of the assessment data. Round your answer to two decimal places, if necessary.
The following table contains the scores from a group of 15 high school seniors on a psychological assessment of positive affect for the subject of math and their scores on the same assessment for the subject of chemistry. The assessment measures the strength of the student’s positive feelings towards the subject on a 40-point scale, with 40 being the most positive. Positive Affect Assessment Score for Math Assessment, x Score for Chemistry Assessment, y 16 21 12 6 7 16 16 10 22 16 14 19 26 22 12 27 35 26 2 5 29 27 33 39 26 25 37 32 36 29Copy Data Step 1 of 2 : Calculate the sum of squared errors, SSESSE, based on a regression analysis of the assessment data. Round your answer to two decimal places, if necessary.
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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The following table contains the scores from a group of 15 high school seniors on a psychological assessment of positive affect for the subject of math and their scores on the same assessment for the subject of chemistry. The assessment measures the strength of the student’s positive feelings towards the subject on a 40-point scale, with 40 being the most positive.
Positive Affect Assessment
Copy Data
Positive Affect Assessment
| Score for Math Assessment, x | Score for Chemistry Assessment, y |
|---|---|
| 16 | 21 |
| 12 | 6 |
| 7 | 16 |
| 16 | 10 |
| 22 | 16 |
| 14 | 19 |
| 26 | 22 |
| 12 | 27 |
| 35 | 26 |
| 2 | 5 |
| 29 | 27 |
| 33 | 39 |
| 26 | 25 |
| 37 | 32 |
| 36 | 29 |
Step 1 of 2 :
Calculate the sum of squared errors, SSESSE, based on a regression analysis of the assessment data. Round your answer to two decimal places, if necessary.
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