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Summary Step-by-step guide Linear Regression jamovi for Statistics - Tilburg Uni

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Step-by-step guide Linear Regression jamovi for the course Statistics for Premaster CIS at Tilburg University. ! [full guide on the 2nd + 3rd pages]

Institution
Tilburg University (UVT)
Course
Statistics (800957B6)

Content preview

Step by step guide Linear Regression
Goal: measuring how one continuous predictor variable (IV) predicts the one continuous outcome variable (DV).

Hypothesis:
H0: the regression model does not fit the data better than the grand mean. F≈1
H1: the regression model fits the data better than the grand mean. F>1

H0: the regression coefficient in the population is 0.
H1: the regression coefficient in the population is not 0.

Assumptions of linear regression (these are tested for the residuals!!!):
1. Linearity
2. Homogeneity of variance/homoscedasticity
3. Independence of residues
4. Normality (CLT applies)




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Institution
Tilburg University (UVT)
Study
Communicatie- en informatiewetenschappen
Course
Statistics (800957B6)
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Uploaded on
May 7, 2026
File latest updated on
May 7, 2026
Number of pages
3
Written in
2025/2026
Type
SUMMARY

Subjects

  • linear regression
  • statistics
  • simple regression
  • assumption testing
  • homoscedasticity
  • normality test
  • apa reporting
  • hypothesis testing
  • residuals
  • regression coefficients
  • jamovi
  • tilburg university
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