Correlation values Group of answer choices can be negative. cannot be negative. can be larger than 1. both (a) and (c) both (b) and (c)
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.
Two variables are found to have rr close to 0. The statement "the two variables have no relationship with each other" is
Select all that apply.
We should use the regression equation for prediction only if
the xx value in question does not go way beyond the scope of available data.
the value of rr is relatively large.
the regression line fits the points reasonably well.
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