Questions about academic project, econometrics and statistics questions, linear and logistic regression, time series analysis

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here are some questions related to econometrics, statistics, linear and logistic regression, and time series analysis:

Econometrics and Statistics:

What is the difference between econometrics and statistics, and how are they related?

Linear Regression:

Explain the concept of simple linear regression and its use in analyzing the relationship between two variables.
How do you interpret the coefficients in a linear regression model?
What is the method of least squares, and why is it used in linear regression?

Logistic Regression:

What is logistic regression, and how is it different from linear regression?
In a logistic regression model, what does the odds ratio represent, and how is it calculated?

Time Series Analysis:

What are stationary and non-stationary time series? How do you test for stationarity?
How does autoregression (AR) differ from moving average (MA) in time series modeling?
Explain the process of seasonal decomposition of time series using different methods.

General Econometrics and Statistics:

What are the assumptions of linear regression, and how can you check if these assumptions are met?
What is the central limit theorem, and why is it important in statistical inference?
What is the difference between parametric and non-parametric statistical tests, and when should each be used?
Can you explain the concept of multicollinearity in multiple regression, and how does it affect the model?
How do you handle missing data in a dataset when performing statistical analyses?

These questions should help you get started on your academic project and delve into different aspects of econometrics, statistics, linear and logistic regression, and time series analysis.

Questions about academic project, econometrics and statistics questions, linear and logistic regression, time series analysis

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