Find the linear regression equation and its components in a process that allows you to establish a functional relationship or mathematical equation between two variables, as well as the strength of that relationship.
Through a plot of points represented in the Cartesian plane, where it is placed as ordered pairs or points, as follows: (x, y) = (independent variable, dependent variable) of the observed sample. The independent variable is located on the X axis and the dependent variable is located. "
This whole process is done using the least squares method (MMC)
This applied can calculate:
- The estimated regression equation
- Coefficient to (independent variable)
- Coefficient b (dependent variable)
- Calculate the variance of the regression
- Standard deviation of the regression
- Sum of the squares of the errors (SCE)
- Correlation coefficient (r)
- Covariance (VOC)
- Variance for variable x
- Variance for the variable and
- Graph the adjustment line
Through a plot of points represented in the Cartesian plane, where it is placed as ordered pairs or points, as follows: (x, y) = (independent variable, dependent variable) of the observed sample. The independent variable is located on the X axis and the dependent variable is located. "
This whole process is done using the least squares method (MMC)
This applied can calculate:
- The estimated regression equation
- Coefficient to (independent variable)
- Coefficient b (dependent variable)
- Calculate the variance of the regression
- Standard deviation of the regression
- Sum of the squares of the errors (SCE)
- Correlation coefficient (r)
- Covariance (VOC)
- Variance for variable x
- Variance for the variable and
- Graph the adjustment line
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