ANALISIS REGRESI BERGANDA DENGAN METODE STEPWISE PADA DATA HBAT
ABSTRACT: Multiple regression
analysis as a
statistical technique that
can be used
to analyze the relationship between
a single dependent
(respon) variable and
several independent (peredictor)
variables. Application for this analysis to be done specially in social
economic. HBAT is a
manufacture of paper
products. Surveys of
HBAT customer will
be used to application multiple
regression analysis in
this paper to
explain relationship satisfication between the
other variables. Methods
to selective entering
and deleting among
these variables until some overall criterion measure is achived.
Objective methods for selecting variables that maximizes the prediction
while employing the smallest number of
variables. Results is the best model from multiple regression analysis is Y =
-1.15106 + 0.36900 X6 -0.41714 X7 + 0.31896 X9 + 0.17435 X11 + 0.77513 X12,
means that customer satisfaction is significantly influenced by the complaint
resolution, product quality, salesforce image, ecommerce activities, and
product line. Besides that the assumptions in multiple regression analysis are
met. SAS software has facility more complete than SPSS, Minitab, and R.
Penulis: FERRY KONDO LEMBANG
Kode Jurnal: jpmatematikadd110033
