Ridge Regression
Ridge Regression is one of the statistical analyses applied automatically in MerQur. This page illustrates — on a Agriculture, Forestry & Aquatic sample dataset — how the analysis is run, what the MerQur output looks like, and how the result is reported in APA 7 format.
🎯 What is it for?
Ridge Regression, ilgili veri türü için gerekli tüm varsayım kontrollerini (normallik, varyans homojenliği, vb.) arka planda otomatik uygular ve sonuçları açık bir tablo + grafik ile sunar. APA 7 standardında otomatik yorumlama, Cohen’s d/η²/R² gibi etki büyüklükleri ve %95 güven aralıkları raporlanır.
📌 When is it used?
- Statistical analysis of measurements in the Agriculture, Forestry & Aquatic domain
- To produce APA 7-compatible result tables for academic publications
- Hypothesis testing and decision-making processes
- Undergraduate / master’s / PhD theses after the appropriate method has been selected
📐 Assumptions
- Appropriate scale — Variables must be at the measurement level required by the analysis (nominal/ordinal/interval/ratio)
- Independent observations — Observations must come from individuals independent of one another
- Sufficient sample size — The minimum n requirement for the analysis must be met
- Outlier check — Outliers must be detected and evaluated
If assumptions are violated, MerQur automatically suggests a non-parametric or robust alternative.
🛠 How to do it in MerQur
Load the data. Select the sample file from File → Open. MerQur auto-detects column types.
Select the analysis. From the left side select Ridge Regression.
Variable assignments.
- Variable 1:
toprak_p01 - Variable 2:
toprak_p02
Optional settings. Effect size ✓ · 95% confidence interval ✓ · Assumption checks (automatic).
▶ Run — click the button. Results are produced automatically as a table + chart.
📄 Export to Word. APA 7-formatted report with italic statistical symbols.
📊 Sample Dataset — Agriculture, Forestry & Aquatic
ℹ Note: The MerQur output and interpretation tables on this page are illustrative, intended to help readers understand the analysis. Numeric results from your own data may differ; this page does not need to match the YouTube video walkthrough exactly.
🎬 File Used in the Video
The YouTube video for this page was recorded for the Agriculture, Forestry & Aquatic domain using the sample file below:
49_Ridge_Regresyonu / Ziraat_Orman_Muhendislik__49_ridge_toprak_verim.xlsx
Data Preview (First 5 Rows)
| parsel_id | toprak_p01 | toprak_p02 | toprak_p03 | toprak_p04 | toprak_p05 | toprak_p06 | toprak_p07 | toprak_p08 | toprak_p09 | toprak_p10 | toprak_p11 | toprak_p12 | toprak_p13 | toprak_p14 | toprak_p15 | verim |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.00 | 0.86 | 0.43 | 0.54 | 0.78 | 0.71 | 1.09 | 0.01 | 0.56 | 0.58 | 0.64 | 0.80 | 0.70 | 0.63 | 0.83 | 1.16 | 247.40 |
| 2.00 | 0.63 | 0.46 | 0.15 | 0.98 | 0.70 | 0.39 | -0.26 | 0.82 | 0.30 | 0.37 | 0.67 | -0.18 | 0.20 | 0.27 | 0.66 | 206.00 |
| 3.00 | 0.46 | -0.11 | -0.06 | 0.21 | -0.59 | -0.49 | -0.41 | -0.60 | -0.33 | -0.07 | -0.31 | 0.45 | 0.29 | -0.10 | 0.30 | 217.50 |
| 4.00 | -0.38 | 0.16 | -0.03 | 0.10 | -0.13 | -1.03 | 0.29 | -0.12 | -0.75 | -0.07 | -0.57 | 0.23 | -0.70 | 0.20 | -0.54 | 202.40 |
| 5.00 | -1.20 | -0.94 | -0.87 | -0.99 | -0.69 | -1.53 | -0.65 | -0.22 | -0.69 | -1.12 | -1.30 | -1.14 | -1.32 | -0.94 | -1.08 | 163.30 |
n = 200 · Columns: parsel_id, toprak_p01, toprak_p02, toprak_p03, toprak_p04, toprak_p05, toprak_p06, toprak_p07, toprak_p08, toprak_p09, toprak_p10, toprak_p11, toprak_p12, toprak_p13, toprak_p14, toprak_p15, verim
MerQur Output (Illustrative)
MerQur Narrative Interpretation
Çoklu regresyon modeli, verim‘in değişkenliğinin yaklaşık %52’sinin yordayıcı değişkenler tarafından açıklandığını göstermiştir (R² = .52, p < .001). Model genel olarak anlamlıdır ve veriye iyi uyum sağlamaktadır.
APA 7 Interpretation (Academic Format · Illustrative)
verim değişkenini yordamada genel modelin istatistiksel olarak anlamlı olduğunu göstermiştir, F(3, 196) = 47.62, p < .001, R² = .52, düzeltilmiş R² = .51. Bu sonuç, modeldeki yordayıcı değişkenlerin verim varyansının yaklaşık %52’sini açıkladığını desteklemektedir.⚠ Common Mistakes
- Misidentifying the data type (e.g., loading a categorical variable as numeric)
- Skipping assumption checks and going straight to the p-value
- Failing to report effect size — APA 7 requires both p and effect size
- Failing to apply a Type I error correction (Bonferroni/Tukey) in multiple comparisons
- Not switching to a non-parametric alternative when n is insufficient
📹 Video Walkthrough
Watch the video below for an end-to-end walkthrough of this analysis on a Agriculture, Forestry & Aquatic file.
▶ Ridge Regression — video walkthrough
This section is part of the Regresyon video (12 analyses in one video). The link below jumps straight to 9:44, where this analysis begins. Narration is in Turkish.
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📚 If You Used This Analysis, Cite MerQur
If you performed this analysis using MerQur in a scientific study, please use the citation below as part of your academic citation obligations (APA 7):
Örücü, Ö. K. (2026). MerQur: Integrated Academic Data Analysis & Reporting Platform [Computer software] (Version 1.0.0). https://doi.org/10.53463/merqur.2026001
For BibTeX, RIS, EndNote and the English citation form: all citation formats →
- American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
- Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.