Simple regression in respect of variable is an example of:

Correct option is C

Simple regression involves the analysis of the relationship between two variables: an independent variable (predictor) and a dependent variable (outcome). In simple regression, we attempt to model this relationship using a linear equation, which helps predict the dependent variable based on the value of the independent variable. This kind of analysis involves only two variables, making it a bivariate analysis.
Information Booster:
· Bivariate analysis refers to the analysis of two variables and the relationship between them. In the case of simple regression, we focus on the interaction between one independent variable (X) and one dependent variable (Y). The goal is to understand how changes in the independent variable (X) affect the dependent variable (Y).
Additional Knowledge on Incorrect Options:
· Uni-dimensional analysis (a): This involves the analysis of only one variable at a time. Simple regression is not uni-dimensional because it involves the relationship between two variables.
· Multi-variable analysis (b): This type of analysis involves more than two variables (e.g., multiple regression), which is beyond the scope of simple regression, where only one independent variable is used.
· Canonical analysis (d): Canonical analysis is a type of multivariate analysis used to examine the relationship between two sets of variables. This is not related to simple regression, which involves a single independent variable and a dependent variable