True or False? The r2 value and a least squares regression line can be an excellent way to demonstrate the degree of correlation between two variables, and the type of association between the two variables.
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.
True or False? The r2 value and a least squares regression line can be an excellent way to demonstrate the degree of
This quation was asked twice in bartley but the answers were different. Clarification is needed. Thank you
Given:
The r2 value and a least squares regression line can be an excellent way to demonstrate the degree of correlation between two variables, and the type of association between the two variables.
Coefficient of Determination is a measure which indicates the variation in the dependent variable with respect to change in the independent variable.
In other words, is used to explain how much variability of one factor (dependent variable) can be caused by its relationship to another related variable.
Least squares regression line is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible
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