Khaerani Anggitasari

Sep 2, 2026

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This document presents statistical analysis results from regression models, focusing on the relationships between various independent variables and a dependent variable, likely 'Motivasi' (Motivation) and 'Prestasi' (Achievement) based on the correlation matrix. The regression analyses for 'Zonasi' (Zoning), 'Afirmasi' (Affirmation), and 'Prestasi' (Achievement) show that these independent variables do not have a statistically significant impact. Specifically, the 'Sig.' values for Zonasi (.814), Afirmasi (.816), and Prestasi (.665) are all well above the conventional significance level of .05. This indicates that changes in these independent variables are not significantly associated with changes in the outcome variable in the tested models. The correlation matrix further supports these findings, displaying low and statistically non-significant correlation coefficients between the independent variables and 'Motivasi', as well as between 'Afirmasi' and 'Prestasi'. The 'Control Variables' section in the correlation matrix, though its specific components are not detailed, shows a strong correlation of 1.000 with Zonasi, implying they might be one and the same or highly dependent. Overall, the statistical evidence presented suggests a lack of significant linear relationships between the tested independent variables and the dependent variables within this dataset.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages12

Reading Time30 min

AccessFree to download

Regression Analysis

Correlations

Model 1 (Constant, Zonasi)

Model 1 (Constant, Afirmasi)

Model 1 (Constant, Prestasi)

FAQs

What is the significance of the regression analysis results?

The regression analyses indicate that 'Zonasi', 'Afirmasi', and 'Prestasi' do not have a statistically significant impact on the outcome variable, as the 'Sig.' values are above the .05 threshold.

What does the correlation matrix suggest about the variables' relationships?

The correlation matrix shows low and statistically non-significant coefficients between the independent variables and 'Motivasi' (Motivation), as well as between 'Afirmasi' and 'Prestasi'.

What is the primary conclusion drawn from the statistical data?

The presented statistical evidence suggests a lack of significant linear relationships between the tested independent variables and the dependent variables within the scope of this dataset.

Sep 2, 2026

Upload by Anda