QUESTION THREE:(a) Explain 5 parameters used in multivariate regression modelling-.

Response Variable (Dependent Variable):The response variable, often denoted as the dependent…

Answered: QUESTION THREE: (a) Explain 5…

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Step 1: Explanation :

Response Variable (Dependent Variable):
- The response variable, often denoted as the dependent variable or Y, is the focal point of interest in multivariate regression. It is the variable we aim to predict or elucidate through the influence of independent variables.
Predictor Variables (Independent Variables):
- Predictor variables, also referred to as independent variables or features, constitute the inputs in multivariate regression. They are the attributes or factors we believe hold explanatory power over the dependent variable. Multivariate regression accommodates multiple independent variables.
Regression Coefficients (Beta, β):
- Regression coefficients quantify the magnitude and direction of the associations between each independent variable and the dependent variable. These coefficients signify how much we anticipate the dependent variable to change, on average, for a unit change in each independent variable, while other variables remain constant. Each independent variable has its corresponding regression coefficient (β1, β2, β3, and so forth).