For any set of data, the regression equation will always pass through 1) at least two points in the data set 2) the point that represents the mean value of x and the mean value of y. 3) the point with the smallest value of x and the largest value of y. 4) every point in the data set.
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.
Solve the problem.
For any set of data, the regression equation will always pass through
1) at least two points in the data set
2) the point that represents the
3) the point with the smallest value of x and the largest value of y.
4) every point in the data set.
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