Given observations on wage, education, experience and IQ score, in which of the following cases will the OLS estimation of the population wage equation Log(Wage) = a + B2 Educ + ß3 Exper + B4IQ + u , tend to yield biased estimates ? Excluding High wage individuals from your sample Education and IQ are correlated with each other O Including in the regression an additional gender dummy even though you are not sure whether gender affects log(wage) or not. O The data have some (randomly) missing values on IQ
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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