A Study on Multiple Linear Regression Analysis

By Gülden Uyanık, N. Güler. 2013

1,055 citations recorded by the source corpus.

Abstract Regression analysis is a statistical technique for estimating the relationship among variables which have reason and result relation. Main focus of univariate regression is analyse the relationship between a dependent variable and one independent variable and formulates the linear relation equation between dependent and independent variable. Regression models with one dependent variable and more than one independent variables are called multilinear regression. In this study, data for multilinear regression analysis is occur from Sakarya University Education Faculty student's lesson (measurement and evaluation, educational psychology, program development, counseling and instructional techniques) scores and their 2012- KPSS score. Assumptions of multilinear regression analysis- normality, linearity, no extreme values- and missing value analysis were examined. The data that verify the assumptions were analyzed with multiple regression and lessons measurement and evaluation, instructional techniques, counseling, program development and educational psychology were estimate the KPSS respectively.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/1d5f8166363576df14e1de9afb89de3aa7a098e4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

  1. Rebecca Dolan
  2. Mona Rashidirad
  3. Hamidreza Shahbaznezhad

Citations in the corpus