What is one purpose of the linear correlation coefficient? Choose the correct answer below. O A. The linear correlation coefficient can be used to determine if a change to the explanatory variable would cause a change in the response variable. O B. The linear correlation coefficient can be used to determine the strength and direction of the linear relationship between two variables. O C. The linear correlation coefficient can be used to determine whether a linear regression equation will be effective at making predictions outside the range of of at least one of the two variables. O D. The linear correlation coefficient can be used to determine whether two variables have a linear relationship, a nonlinear relationship, or no relationship.
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.
The linear correlation coefficient can be used to determine the strength and direction of linear relationship between two variables
Trending now
This is a popular solution!
Step by step
Solved in 2 steps