Which of the following are potential benefits of measuring the units of the dependent variable y in log form? Check all that apply. Your answer: O Logged dependent variables provide better estimates for values of the dependent variable that are less than 1. O Using logged form of variables which vary widely make OLS estimates less sensitive to outliers. When y<0, models using log(y) often satisfy the classic linear model (CLM) assumptions more closely than models using y do. O Logged dependent variables provide better estimates for values of the dependent variable that are less than 0. Using the logged form of the dependent variable reduces issues associated with heteroskedasticity.
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.
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