data analysis

Modeling of Life Expectancy In East Java Using Linear Regression, MARS and ANFIS

Contents

1

Introduction

Modeling Method

Methodology

Result and Data Analysis

Conclusion

2

Introduction

Data Analysis- Monday, 26 November 2012

Life expectancy is the average years of life that will be lived by a newborn to a specific year when he died.

Several factors are thought to affect the life expectancy, i.e. the literacy rate, the average length of school and income per capita

Data Analysis- Monday, 26 November 2012

3

Introduction

Some methods can be used to analyze the relationship between these variables are linear regression, Multivariate Adaptive Regression Spline (MARS) and Adaptive Neuro-Fuzzy Inference System (ANFIS).

The aim : to determine the appropriate method to describe the relationship between the dependent variable, the life expectancy in East Java and the independent variable, the literacy rate, income per capita and the average length of school.

Data Analysis- Monday, 26 November 2012

Modeling of Life Expectancy In East Java Using Linear Regression, MARS and ANFIS

Modeling Method

Linear Regression

MARS

ANFIS

Linear Regression

An approach to modeling the relationship between a scalar dependent variable, Y, and one or more independent variables denoted X. Linear regression is the most widely used of all statistical techniques: it is the study of linear (i.e., straight-line) relationships between variables

Data Analysis- Monday, 26 November 2012

6

MARS

y

Σ

Layer 5

Indah Puspita

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