SAS Regresesion Analysis

SAS provides the capability to build regression models to analyze ordinal data correlations and use this model to predict out-of-sample values. Here is the process: Open SAS Studio > Go Tasks > Linear Regression > the following window will open: Input Data settings: Model settings: One can add simple variables to the indepedent variables set.[…]

SAS: Using Differencing for ARIMA

Data Differencing is achieved by creating a new series which is D = Yt – Y[t-1]. Differencing aims at removing the non-stationarity in the time series, a pre-requisite for using ARIMA models against a time series. Here we explore the configuration of differencing and its impact on ACF and PACF: ARIMA configuration with D=0 Configuration[…]