Describe the concept of Regression toward the Mean.
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.
Describe the concept of Regression toward the
Regression toward the mean:
This is the phenomenon that occurs usually when a non-random sample is selected from a population and then two variables of interest are measured and they are found to be imperfectly correlated. The smaller the correlation between the two variables then more extreme values are obtained from the population mean and this will lead to greater effect of regression towards mean. In another words, we measure a variable, first time it is showing extreme values and then second time measure the variable it will be closer to the average or the mean.
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