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Correlation and regression are two closely related topics in statistics. For each of the following statements, indicate whether the statement is true of correlation, true of regression, true of both correlation and regression, or true of neither correlation nor regression.
1. Can tell you whether one variable (such as smoking) causes another (such as cancer)
2. Can be influenced by extreme values on one or both variables
3. Can tell you the degree to which a linear relationship exists between two variables

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Correlation and Regression are often used interchangeably in statistic. However, correlation measures the degree of relationship, while regression models the effect of one variable on the other. The solution are given thus :

  • Correlation
  • Correlation and Regression
  • Correlation

The Correlation Coefficient, could be used to tell the magnitude and nature of the relationship between variables, which cannot be inferred from the regression equation.

Both correlation and regression can be affected by the presence of outliers which could lead to obtaining erroneous parameters.

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