Non-linear relationships are equally important to linear ones and in this post we will showcase an another basic approach in modeling exponential relationships between a predictor variable and a response variable. ...
Non-linear relationships are equally important to linear ones and in this post we will showcase a basic approach in case of exponential relationship between a predictor variable and a response variable. ...
Summary statistics returned by the lm() object in R, highlight some important measurements used to decide the overall fitting performance of the linear model to our dataset....
In this fifth post of the series, we will present briefly the necessary steps in order to produce time series forecasts....
In this post you will learn the steps to take in order to decide whether a time series is stationary or not by inspecting graphically and statistically the time series....
In this post, the fourth of the sereis regarding time series analysis, we will discuss about stationarity, an important concept in time series analysis....
In this third post about time series analysis, you will learn about the two main categories in forecasting modeling of time series....
In this post we will discuss about time series components such as: seasonality, trend, cyclicality and irregularity....