Regression Analysis is one of the most commonly used techniques to tackle the most varied Statistical problems. Regression presents various subtleties that needto be properly addressed by an expert. Indeed, there some regression model assumptions that need to be verified before conducting a regression procedure in order to get valid results. And if these assumptions are not met, appropriate corrections are required.
Regression is an incredible versatile technique that can be applied in multiple fields, that yields very easy to interpret results. Regression can be used for estimating house prices, stock market prices, economic indicators, among many other, with diverse degrees of accuracy. The quality of the model built will ultimately depend on the construction of the model (including predictors and functional structure)
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We provide you help with the following:
Simple Linear Regression
Multiple Linear Regression
- Model Building
- Functional Specification
- Correlation Matrix
- Model Building
- Odd Ratios interpretation
- Model Fit
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