Vhat is the coefficient of determination for two variables that have perfect positive linear correlation or perfect negative linear correlatic Choose the correct answer below. DA. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or 0, respective variation in the response variable is explained by the variation in the explanatory variable. O B. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect. of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the explanate OC. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect of determination is 1, which means 0% of the variation in the response variable is explained by the variation in the explanatory O D. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the unexplam

Vhat is the coefficient of determination for two variables that have perfect positive linear correlation or perfect negative linear correlatic Choose the correct answer below. DA. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or 0, respective variation in the response variable is explained by the variation in the explanatory variable. O B. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect. of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the explanate OC. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect of determination is 1, which means 0% of the variation in the response variable is explained by the variation in the explanatory O D. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the unexplam

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

What is the coefficient of determination for two variables that have perfect positive linear correlation or perfect negative linear correlation? Interpret your answer.
Choose the correct answer below.
O A. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or 0, respectively. This means 100% of the
variation in the response variable is explained by the variation in the explanatory variable.
O B. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respectively. In either case the coefficient
of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the explanatory variable.
O C. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respectively. In either case the coefficient
of determination is 1, which means 0% of the variation in the response variable is explained by the variation in the explanatory variable.
O D. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respectively. In either case the coefficient
of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the unexplanatory variable.

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