Curvilinear regression is the relationship between two specific variables among which one is to be predictor and the other to be regressed variable. This curvilinear relationship is best explained to be a non-linear relationship between variables. This is among those few important relationships of variables that need to be considered. When calculating 6e unknowns, the least square method is applied specifically.
Links of Previous Main Topic:-
- Introduction to statistics
- Knowledge of central tendency or location
- Definition of dispersion
- Moments
- Bivariate distribution
- Coefficient of correlation
- Regression of equations
- Rank correlation
- Correlation of bivariate frequency distribution
- Multiple regression
Links of Next Statistics Topics:-
- Theorem of total probability addition theorem
- Random variable
- Binomial distribution
- What is sampling
- Estimation
- Statistical hypothesis and related terms
- Analysis of variance introduction
- Definition of stochastic process
- Introduction operations research
- Introduction and mathematical formulation in transportation problems
- Introduction and mathematical formulation
- Queuing theory introduction
- Inventory control introduction
- Simulation introduction
- Time calculations in network
- Introduction of game theory
