The correct answer is: B. multiple regression
Multiple regression is a statistical method that allows you to estimate the relationship between a dependent variable and two or more independent variables. The dependent variable is the variable that you are trying to predict, and the independent variables are the variables that you are using to make your prediction.
Multiple regression is a more powerful tool than simple regression, which only allows you to estimate the relationship between one dependent variable and one independent variable. Multiple regression can be used to estimate the relationship between a dependent variable and a number of independent variables, which can give you a more accurate picture of the relationship between the variables.
One variable series is a type of data analysis that involves looking at the relationship between one variable and time. This type of analysis is often used to track trends over time.
Simple regression is a statistical method that allows you to estimate the relationship between one dependent variable and one independent variable. The dependent variable is the variable that you are trying to predict, and the independent variable is the variable that you are using to make your prediction.
Two way regression is a statistical method that allows you to estimate the relationship between two dependent variables and two independent variables. The dependent variables are the variables that you are trying to predict, and the independent variables are the variables that you are using to make your prediction.
I hope this helps!