bivariate statistical measures

bivariate statistical measures

1. linear regression

   • Linear regression analysis is used to predict the value of a variable based on the value of another variable

2. simple linear regression

   • is a regression model that estimates the relationship between one independent variable and one dependent variable using a straight line

3. multiple linear regression

   • Multiple linear regression is a regression model that estimates the relationship between a quantitative dependent variable and two or more independent variables using a straight line

4. coefficient of determination

   • It provides a measure of how well observed outcomes are replicated by the model, based on the proportion of total variation of outcomes explained by the model.

5. correlation coefficient

   • It is the ratio between the covariance of two variables and the product of their standard deviations

6. Dispersion diagram

   • dispersion diagram, in which the wavenumber of each type of freely propagating wave is plotted as a function of frequency.

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