State whether the statement is true, false or uncertain and explain the answers chosen. (a) The maximum likelihood estimated variance of the error term is the same as that of the least square minimization estimation. (b) The error component model assumes no autocorrelation of the error terms (C) The logistic regression results are not directly comparable with the probit regression results, even though they both compute probabilities as non linear functions of the explanatory variables.
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.
State whether the statement is true, false or uncertain and explain the answers chosen.
(a) The maximum likelihood estimated variance of the error term is the same as that of the least square minimization estimation.
(b) The error component model assumes no autocorrelation of the error terms
(C) The logistic regression results are not directly comparable with the probit regression results, even though they both compute probabilities as non linear
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