What does it mean when the interacting term x1X2 is added to the general linear regression model to account for two predictive variables, x1 and x2, and outcome variable y? O The effect of one unit change in x is the same as the effect of one unit change in x2 on the outcome variable y. The effect of one unit change in x, on the outcome variable y is statistically significant only when x2 is nonzero, and vice versa. O The effect of one unit change in x, on the outcome variable y depends on the value of x2, and vice versa. O The predictive variables x1 and x2 do not influence the value of the outcome variable y individually. Only changes of the product (i.e., x1X2) of x1 ảnd x2 will impact y.
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.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps