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In econometrics, you need to analyze data that are not normally distributed. When data has skewness or kurtosis, a normal regression model will give you wrong results. like it Conversely, when the data are skewed, it is not a good idea to use logarithms to transform the data. Hence, it is essential to use econometric methods that deal with the skewness, kurtosis and logarithms. In such a situation, you need to apply the linear regression, which is a linear model that is used to fit a line to the data.
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[Econometric Statistics] is a subject that I love because it provides a way of answering questions that we might be asked in other subjects such as statistics. [Firstly,] explain what econometric statistics is and what the main components are. You can then use the examples in the text to give them an idea of what econometric statistics involves. [Secondly], give examples of situations in which econometric statistics is needed, such as understanding the relationship between two variables. [Thirdly], discuss some common econometric analysis methods, including regress
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