TY - JOUR
TI - Circular(2)-linear regression analysis with iteration order manipulation
AU - Teng, Ming Foey; Nurhab, Badaruddin; Purwaningsih, Tuti; Nurhab, Muhamad Irpan
IS - Vol 3, No 2 (2017): July 2017
PB - Universitas Ahmad Dahlan
JO - International Journal of Advances in Intelligent Informatics
PY - 2017
SP - 107
EP - 116
UR - http://ijain.org/index.php/IJAIN/article/view/90
AB - The development of data analysis still predominantly uses linear statistics. Whereas the research world there are other types of data is data direction. One type of data direction is the data circular. The statistical analysis aimed at modelling the causal relationship between the independent variable and the dependent variable is regression analysis. So, as to model, the relationship between wind direction and cloud direction against rainfall is circularâlinear-multiple regression analysis. The purpose of this research is to build a model of circularâlinear regression analysis of m order with circular variable Î± and Î² against linear variable (Y). This research used the simulation data, seen from the sum square of error, p-value, and r-square.