# Doğrusal Regresyon

Canonical: https://manyspace.aporia.systems/tr/topics/linear-regression-mth-stats-220
Updated: 2026-10-13

Matematik · Statistics · MTH-STATS-220

- Zorluk: 3 / 5
- Önem: 5 / 5
- Çalışma süresi: 4–7.5 sa

least squares, inference, R-squared, diagnostics, multiple regression

## Neden önemli

Turning data into decisions under uncertainty; the quantitative backbone of business analytics, science and ML evaluation.

## Nerede kullanılır

A/B testing, market research, QC, clinical trials, customer analytics, experimentation platforms.

## Öğrendiğini nasıl anlarsın

Solve ≥10 representative problems with ≥80% adjusted accuracy.

## Önce neye ihtiyacın var

- [Örnek Uzaylar ve Olaylar](https://manyspace.aporia.systems/tr/topics/ornek-uzaylar-ve-olaylar-mth-prob-196) (gerekli)
- [Ortogonal İzdüşümler ve En Küçük Kareler](https://manyspace.aporia.systems/tr/topics/ortogonal-izdusumler-ve-en-kucuk-kareler-mth-linalg-165) (gerekli)
- [Hipotez Testleri](https://manyspace.aporia.systems/tr/topics/hipotez-testleri-mth-stats-217) (gerekli)

## Neyi açar

- [Öngörü (Forecasting)](https://manyspace.aporia.systems/tr/topics/ongoru-forecasting-ent-fin-117)

## Kaynaklar

- Statistics (Freedman, Pisani & Purves) — Freedman, Pisani & Purves
- Statistics (Freedman, Pisani & Purves) — Freedman, Pisani & Purves
- The Elements of Statistical Learning — Hastie, Tibshirani & Friedman