bivariate measures

bivariate measures

1. correlation

   • Statistical technique used to measure the closeness of the linear relationship between two or more variables on an interval scale.
   • Measures the closeness of the relationship between two or more variables, considering the joint variation of the two measurements, none of which is subject to restriction by the experimenter
   • We describe the correlation by a unitless measure called the correlation coefficient, which ranges from -1 to +1 and is denoted by the letter r.

2. determination coefficient

3. Simple linear correlation

4. Positive correlation and correlation

5. scatterplots Regression

6. Regression simple

7. Multiple Regression

8. Regression

   • is used to derive an equation that relates the criterion variable to one or more predictor variables. In this, the frequency distribution of the criterion variable is considered when one or more of the predictor variables are held fixed at various values.
   • Study the relationship between two quantitative variables
   • Statistical technique used to derive an equation that relates a criterion variable to one or more predictor variables
   • It studies the strength of the association through a measure of association called the correlation coefficient
   • Statistical technique used to derive an equation that relates a criterion variable to one or more predictor variables; when only one predictor variable is used, it is simple regression analysis, and if two or more are used, it is multiple regression analysis.

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