Statistics

Statistics

1. Linear regression

   • It is a method for finding the linear relationship between two variables, linear regression produces a line of best fit that fits the data as accurately as possible

2. Correlation Coefficients

   • It is a meaure that the linear relationship between two variables. the correlation coefficient varies from -1 to +1, where -1 indicates a perfect negative relationship, +1 indicates a perfect pasive relationship, and o indicates no relationship´

3. R- Squeared

   • It is a meausure of how much variability in one variable is explained by another variable in a linear regression R- squeared varies from 0 to 1, where 0 indicates no relationship

4. Coefficient of determination

   • It is a meausure of the strength of the relationship between two variables the coefficient of determination is equel to the square of the correlation coefficient

5. Analysis of variance (ANOVA)

   • It is a statistical method used to compare the means of two or more groups in linear regression ANOVA is used to compare the variance explained by the regression line with the unexplaned variance

6. Coefficient of covariance

   • It is a meause that indicates the extent to which two random variables vary together the coefficient of covariance is a meausure of the direction of the relationship between two variables but it does not indicate the strength of the relationship