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Q.4 (a) measurement of serum cholesterol (mg/100ml) and arterial calcium decomposition (mg/100gm) were made on 12 animals. The data are as follows Calcium 59 42 32 59 24 24 40 32 36 24 63 57 (X) Cholesterol 298 303 233 287 236 245 265 233 286 290 264 239 (Y) Calculate correlation coefficient and fit a linear regression line assuming the cholesterol as dependent variable and Calcium as independent variable and interpret the results.

Q.4 (a) measurement of serum cholesterol (mg/100ml) and arterial calcium decomposition (mg/100gm) were made on 12 animals. The data are as follows Calcium 59 42 32 59 24 24 40 32 36 24 63 57 (X) Cholesterol 298 303 233 287 236 245 265 233 286 290 264 239 (Y) Calculate correlation coefficient and fit a linear regression line assuming the cholesterol as dependent variable and Calcium as independent variable and interpret the results.

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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Q.4 (a) measurement of serum cholesterol (mg/100ml) and arterial calcium decomposition (mg/100gm) were made on 12 animals. The data are as follows Calcium 59 42 32 59 24 24 40 32 63 | 57 36 24 (X) Cholesterol 298 303 233 287 236 245 265 233 286 290 264 239 (Y) Calculate correlation coefficient and fit a linear regression line assuming the cholesterol as dependent variable and Calcium as independent variable and interpret the results.
Transcribed Image Text:Q.4 (a) measurement of serum cholesterol (mg/100ml) and arterial calcium decomposition (mg/100gm) were made on 12 animals. The data are as follows Calcium 59 42 32 59 24 24 40 32 63 | 57 36 24 (X) Cholesterol 298 303 233 287 236 245 265 233 286 290 264 239 (Y) Calculate correlation coefficient and fit a linear regression line assuming the cholesterol as dependent variable and Calcium as independent variable and interpret the results.
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