APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Univariate
|
|
|
Bivariate
|
|
|
Multivariate
|
|
|
None of the above
|
Detailed explanation-1: -Bivariate Regression Analysis is a type of statistical analysis that can be used during the analysis and reporting stage of quantitative market research. It is often considered the simplest form of regression analysis, and is also known as Ordinary Least-Squares regression or linear regression.
Detailed explanation-2: -Bivariate Regression: Bivariate regression is a simple linear regression model which is used to predict one variable (referred to as the outcome, criterion, or dependent variable) from one other variable (referred to as the predictor or independent variable).
Detailed explanation-3: -Simple linear regression is a regression model that estimates the relationship between one independent variable and one dependent variable using a straight line. Both variables should be quantitative.