Suppose x1, x2, and x3 are predictor variables and y is the response variable of a population. Consider the population consisting of all members of the original population having specified values of the three predictor variables. The distribution, mean, and standard deviation of the response variable on that population are called, respectively, the ________, _______, and ___________ of the response variable corresponding to the specified values of the predictor 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.
Suppose x1, x2, and x3 are predictor variables and y is the response variable of a population. Consider the population consisting of all members of the original population having specified values of the three predictor variables. The distribution,
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