Which of the following scatterplots provides evidence that the condition of equal variance for inference for the slope of a regression line has not been met?
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.
Which of the following
One of the basic assumptions of the CLRM is that of each disturbance term conditional on the chosen value of the explanatory variables, is some constant number which is the variance. This is called homoscedasticity or equal spread. If it is violated that is, the variances of the disturbance term are not same, then the problem of heteroscedasticity arises.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
