analysis is the statistical process of estimating the relationship between dependent and variables. A. Regression, independent B. Time series, outcome C. Time series, latent D. Regression, outcome

A. Regression, independent

Step-by-step explanation:

Regression analysis can be regarded as a statistical methods which is been utilized in estimating the relationships that exist between a dependent variable as well as one or more independent variables. It is tools used in assessment of strength of the relationship that between variables, it could be used to model future relationship between variables.

Regression analysis posses different

variations, These are;

✓ linear

✓ nonlinear

✓multiple linear,

For linear model, this equation can be used.

Y = (a + bX + ϵ)

Where

Y =Dependent variable

a =Intercept

X= Independent variable

ϵ = Residual error

b =Slope

It should be noted that Regression

analysis is the statistical process of estimating the relationship between dependent and independent

variables.