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Browsing Category

# Analytics

## HOW TO USE DESCRIPTIVE ANALYTICS

Descriptive Analytics How frequently you use statistical analyses in your work? Is it every day? Every week? Every quarter? Annually?None at all? Now it is time together with your data and evaluate your performance and get ready to take…

## Churn Modelling for Mobile Telecommunications

What is Churn Modelling (more…)

## ANOVA Using SPSS

ONE-WAY CLASSIFICATION ________________________________________________________________________________________________ Definition : Analysis of variance (ANOVA) uses F-tests to statistically assess the equality of means when you have…

## Time series Forecasting using simple exponential smoothing method using R

Forecast meaning predicting future with the help of provided data material. Forecasting in R can be done with Simple exponential smoothing method and using forecast (more…)

## Decomposing Time Series ARIMA Data using R

In the previous article Time Series Analysis in R, we learn how to read and plot time series data. In this article of this series, we will get to know that how to break the data into trend and irregular component. 4). Decomposing the time…

## How to do Time Series Analysis

Part-1 Hi all, Hope you are familiar with the time series function or you may have heard of time series analysis. In R there is a different R (more…)

## Linear Regression Assumptions

Linear regression is an analysis that assesses whether one or more predictor variables explain the dependent (criterion) variable. The five key regression assumptions are: Linear relationship Multivariate normality No or little…

## Hypothesis Testing

The objective of testing statistical significance of (also ) by stating that we want to test the validity of the null hypothesis (HN), that the true population parameter β=0 against the alternative hypothesis (HA) that is different from…

## Introduction about Logistic Regression Model

Hello guys, we have learnt about Linear Regression model in my previous article. Today, in this article we will get to learn the basics of Logistic Regression and some tricks to find the relation between the variables. Do you know what type…

## Linear Regression Analysis using R

One of the most frequent used techniques in statistics is linear regression where we investigate the potential relationship between a variable of interest (often called the response variable but there are many other names in use) and a set…