In which of the following situations can multiple regression be performed? Select all that apply. Select all that apply: predicting the starting salary of a new hire, given their previous experience (in years) and their amount of education (in years) predicting the revenue of a movie, given the average review score on a 100-point scale and the number of screens predicting the height and weight of an elephant, given its age predicting the grade point average (GPA) of a college student, given the student's GPA in high school
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
In which of the following situations can multiple regression be performed? Select all that apply.
Select all that apply:
- predicting the starting salary of a new hire, given their previous experience (in years) and their amount of education (in years)
- predicting the revenue of a movie, given the average review score on a 100-point scale and the number of screens
- predicting the height and weight of an elephant, given its age
-
predicting the grade point average (GPA) of a college student, given the student's GPA in high school
Trending now
This is a popular solution!
Step by step
Solved in 3 steps
