多重共线性
山脊
回归分析
回归
统计
拟合优度
数学
方差膨胀系数
线性回归
回归诊断
稳健回归
主成分回归
偏最小二乘回归
多项式回归
地理
地图学
作者
Ferra Yanuar,Mardha Tillah,Dodi Devianto
出处
期刊:Eksakta: Berkala Ilmiah Bidang MIPA
日期:2018-10-30
卷期号:19 (2): 1-11
被引量:21
标识
DOI:10.24036/eksakta/vol19-iss2/134
摘要
This article aims to model factors affecting HDI (Human Development Index) in North Sumatera by 2015 using ridge regression method. This ridge regression method is used because in the IPM data there is a multicolinearity problem so that the least squares regression method, as regression method commonly used in statistical modeling, is not suitable for use any more. This study compares the models resulting from the use of the least squares method and the ridge regression method to the HDI data. This study proves that the ridge regression method produces a better model and can eliminate the multicolinearity effect, while the least squares method can not. The significant factors in affecting HDI on North Sumtera data in 2015 are Average School length and Total expenditure / capita / month. The indicator of the goodness of this ridge regression model is 81.81% which means that the model is good and could be accepted.
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