n looking at your data, you notice that there are at least 3 outliers.What effect do outliers have on conclusions based on the Pearson Product-Moment correlation coefficient? Outliers do not have any effect on the interpretation of the relationship between X and Y. It makes the relationship between the 2 variables (X and Y) curvilinear and positive. It makes the relationship between X and Y (i.e., the correlation coefficient- r) seem larger than it actually is. It may lead to false conclusions about the presence/absence of relationship between X and Y.
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.
In looking at your data, you notice that there are at least 3 outliers.What effect do outliers have on conclusions based on the Pearson Product-Moment
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Outliers do not have any effect on the interpretation of the relationship between X and Y.
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It makes the relationship between the 2 variables (X and Y) curvilinear and positive.
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It makes the relationship between X and Y (i.e., the correlation coefficient- r) seem larger than it actually is.
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It may lead to false conclusions about the presence/absence of relationship between X and Y. |
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