Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Agriprimatech
Tarigan, Putrisina Br
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ANALISIS ASUMSI KLASIK TERHADAP FAKTOR-FAKTOR PRODUKTIVITAS KERJA TENAGA PEMANEN DI PERKEBUNAN KELAPA SAWIT Tarigan, Putrisina Br
Agriprimatech Vol. 6 No. 2 (2023): Agriprimatech
Publisher : Prodi Agribisnis Fakultas Agro Teknologi Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/agriprimatech.v7i1.4244

Abstract

In analyzing productivity, appropriate methods are needed to answer hypotheses in a study. The classical assumption test is an analysis carried out to assess whether in a linear regression model there are problems with the classical assumptions. This research aims to determine the linear relationship between the observed variables. This research uses a qualitative descriptive method with classical assumption tests on productivity with the variables age (X1), salary (X2), and dependents (X3). The results of this study show that the regression model has a normal distribution, there are no symptoms of heteroscedasticity, no symptoms of multicollinearity and no symptoms of autocorrelation with productivity.
ANALISIS ASUMSI KLASIK TERHADAP FAKTOR-FAKTOR PRODUKTIVITAS KERJA TENAGA PEMANEN DI PERKEBUNAN KELAPA SAWIT Tarigan, Putrisina Br
Agriprimatech Vol. 6 No. 2 (2023): Agriprimatech
Publisher : Prodi Agribisnis Fakultas Agro Teknologi Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/agriprimatech.v7i1.4244

Abstract

In analyzing productivity, appropriate methods are needed to answer hypotheses in a study. The classical assumption test is an analysis carried out to assess whether in a linear regression model there are problems with the classical assumptions. This research aims to determine the linear relationship between the observed variables. This research uses a qualitative descriptive method with classical assumption tests on productivity with the variables age (X1), salary (X2), and dependents (X3). The results of this study show that the regression model has a normal distribution, there are no symptoms of heteroscedasticity, no symptoms of multicollinearity and no symptoms of autocorrelation with productivity.
Co-Authors