Residuals vs. the Fitted Values (response is final) 20 10 -10 -20 + 50 60 70 80 90 100 110 120 130 140 150 Fitted Value Normal Probability Plot of the Residuals (response is final) 2+ -2 ++ + + -20 -10 10 20 Residual (points) Normal Score Residual (points)
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.
ated by a computer package and may look different from
lar, note that the axes of the Normal probability plot are
only care about the pattern of this plot, so it shouldn’t
cuss whether the assumptions and conditions for the mul-
tiple regression seem reasonable.
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