Consider the following data: 6. 4 y 6. 4 5 7 Calculate the following : (i) Karl Pearson correlation coefficient (r) and Regression equation ( ŷ ). Coefficient of determination (R³) (ii) (iii) Estimated Standard error (Sɛ) 2.
Consider the following data: 6. 4 y 6. 4 5 7 Calculate the following : (i) Karl Pearson correlation coefficient (r) and Regression equation ( ŷ ). Coefficient of determination (R³) (ii) (iii) Estimated Standard error (Sɛ) 2.
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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Question
Q2
Q3
 alt="Q2.
Consider the following data:
X
3
5
6.
4
y
3
4
5
7
Calculate the following :
(i)
Karl Pearson correlation coefficient (r) and Regression equation ( § ).
(ii)
Coefficient of determination (R³)
(iii) Estimated Standard error (Se)
Q3.
Consider the following data:
Marks in Statistics
300 400 450 100 200 600 200 550 200 250
Marks in Economics
220 150 240 150 100 50 250 110 120 | 210
Calculate the Spearman's rank correlation.
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Transcribed Image Text:Q2.
Consider the following data:
X
3
5
6.
4
y
3
4
5
7
Calculate the following :
(i)
Karl Pearson correlation coefficient (r) and Regression equation ( § ).
(ii)
Coefficient of determination (R³)
(iii) Estimated Standard error (Se)
Q3.
Consider the following data:
Marks in Statistics
300 400 450 100 200 600 200 550 200 250
Marks in Economics
220 150 240 150 100 50 250 110 120 | 210
Calculate the Spearman's rank correlation.
6
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