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2. REGRESSION 2.1. What are the independent (predictor) and dependent (response, target) variables? 2.2. Construct a scatterplot to see the relationship between independent and dependent variables. 2.3. What do you expect for the sign of ß₁ and magnitude of R²? Note that the magnitude of R² depends on the strength of the linear relationship between independent and dependent variables.

2. REGRESSION 2.1. What are the independent (predictor) and dependent (response, target) variables? 2.2. Construct a scatterplot to see the relationship between independent and dependent variables. 2.3. What do you expect for the sign of ß₁ and magnitude of R²? Note that the magnitude of R² depends on the strength of the linear relationship between independent and dependent variables.

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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2. REGRESSION 2.1. What are the independent (predictor) and dependent (response, target) variables? 2.2. Construct a scatterplot to see the relationship between independent and dependent variables. 2.3. What do you expect for the sign of ß₁ and magnitude of R²? Note that the magnitude of R² depends on the strength of the linear relationship between independent and dependent variables.
Transcribed Image Text:2. REGRESSION 2.1. What are the independent (predictor) and dependent (response, target) variables? 2.2. Construct a scatterplot to see the relationship between independent and dependent variables. 2.3. What do you expect for the sign of ß₁ and magnitude of R²? Note that the magnitude of R² depends on the strength of the linear relationship between independent and dependent variables.
REGRESSION Question A study was made to determine the effect of stirring rate on the amount of impurity in paint produced by a chemical process. The study yielded the following data. Investigate the linear relationship between stirring rate and impurity.. X Stirring rate 21 23 25 27 29 30 32 34 35 38 39 43 Y Impurity % 8.4 9.5 11.8 10.4 13.3 14.8 13.2 14.7 16.4 16.5 18.9 18.5
Transcribed Image Text:REGRESSION Question A study was made to determine the effect of stirring rate on the amount of impurity in paint produced by a chemical process. The study yielded the following data. Investigate the linear relationship between stirring rate and impurity.. X Stirring rate 21 23 25 27 29 30 32 34 35 38 39 43 Y Impurity % 8.4 9.5 11.8 10.4 13.3 14.8 13.2 14.7 16.4 16.5 18.9 18.5
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