Visually inspect the plot and write a judgment about each of the four characteristics of scatterplots that if present would lead to misinterpretation of the Pearson correlation coefficient: curvilinearity outliers (values with a gap of >2 SD from the next extreme value) restricted range (using < ½ of the possible range of the variable) multiple sub-groups
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.
Visually inspect the plot and write a judgment about each of the four characteristics of scatterplots that if present would lead to misinterpretation of the Pearson
- curvilinearity
- outliers (values with a gap of >2 SD from the next extreme value)
- restricted
range (using < ½ of the possible range of the variable) - multiple sub-groups
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