--- title: Minitab 블로그 | Regression Analysis (2) description: "Regression Analysis | 통계 및 품질 향상을 위한 팁과 기법\n품질 개선 프로젝트, 연구 등에서 Minitab 소프트웨어를 사용하는 방법에 대한 블로그 게시물과 기사 (2)" --- 한국어 - [English](https://blog.minitab.com/en/?hsLang=ko) - [Français](https://blog.minitab.com/fr/?hsLang=ko) - [Deutsch](https://blog.minitab.com/de/?hsLang=ko) - [Português](https://blog.minitab.com/pt/?hsLang=ko) - [Español](https://blog.minitab.com/es/?hsLang=ko) - [日本語](https://blog.minitab.com/ja/?hsLang=ko) - [한국어](https://blog.minitab.com/ko/?hsLang=ko) - [中文（简体）](https://blog.minitab.com/zh/?hsLang=ko) - [한국어](https://blog.minitab.com/ko/blog/tag/regression-analysis) - [Chinese](https://blog.minitab.com/zh/blog/tag/regression-analysis) - [Deutsch](https://blog.minitab.com/de/blog/tag/regression-analysis) - [English](https://blog.minitab.com/en/blog/tag/regression-analysis) - [Español](https://blog.minitab.com/es/blog/tag/regression-analysis) - [Français](https://blog.minitab.com/fr/blog/tag/regression-analysis) - 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[뉴스](https://www.minitab.com/ko-kr/company/press-releases/) [사용해 보기/구매](https://www.minitab.com/ko-kr/try-buy/) - [블로그 구독하기](https://info.minitab.com/ko/blog/subscribe?hsLang=ko) ![Minitab](https://20853177.fs1.hubspotusercontent-na1.net/hubfs/20853177/minitab-corp-logo.svg?t=1755011311618) ## 통지 이제 minitab.com을 떠나게 됩니다. 계속하려면 계속을 클릭하세요 : 계속하다 돌아가기 # Minitab 블로그 | Regression Analysis (2) 통계 및 품질 향상을 위한 팁과 기법 ### Top Posts ### 인기 게시물 - Regression Analysis [한 호텔에서 데이터를 사용하여 고객 만족도를 높인 방법 How One Hotel Used Data to Improve Guest Satisfaction](https://blog.minitab.com/ko/blog/how-one-hotel-used-data-to-improve-guest-satisfaction?hsLang=ko) [예측 분석을 통한 가속 언더라이팅 효율성 향상 Enhancing Accelerated Underwriting Efficiency with Predictive Analytics](https://blog.minitab.com/ko/blog/enhancing-accelerated-underwriting-efficiency-with-predictive-analytics?hsLang=ko) [단계적 회귀분석으로 공장 에너지 사용량 설명하기 Using Stepwise Regression to Explain Plant Energy Usage](https://blog.minitab.com/ko/blog/real-world-quality-improvement/using-minitab-stepwise-regression-to-explain-plant-energy-usage?hsLang=ko) [회귀 분석에서 선형 방정식과 비선형 방정식의 차이점은 무엇일까요? What Is the Difference between Linear and Nonlinear Equations in Regression Analysis?](https://blog.minitab.com/ko/blog/adventures-in-statistics-2/what-is-the-difference-between-linear-and-nonlinear-equations-in-regression-analysis?hsLang=ko) [회귀 모형에서 가장 중요한 예측 변수를 파악하는 방법 How to Identify the Most Important Predictor Variables in Regression Models](https://blog.minitab.com/ko/blog/adventures-in-statistics-2/how-to-identify-the-most-important-predictor-variables-in-regression-models?hsLang=ko) ## [종이 생산을 위한 의사 결정 트리 Minitab 의 예측적 분석 및 근본 원인 분석 Trimming Decision Trees to Make Paper: Predictive Analytics and Root Cause Analysis in Minitab](https://blog.minitab.com/ko/blog/trimming-decision-trees-paper-predictive-analytics-root-cause-analysis?hsLang=ko) [Machine Learning](https://blog.minitab.com/ko/blog/tag/machine-learning) | 4 분 읽기 절차를 통해서 점점 더 많은 관찰 데이터를 수집함에 따라, 의미 있는 통찰력을 제공할 수 있는 새로운 도구가 필요할 수 있습니다. 전통적인 통계 도구에 현대적인 기계 학습 기법을 추가하여 절차를 분석하고 개선하며 관리할 수 있습니다. [계속 읽기!](https://blog.minitab.com/ko/blog/trimming-decision-trees-paper-predictive-analytics-root-cause-analysis?hsLang=ko) ## [최상 회귀 모형 선택하기 How to Choose the Best Regression Model](https://blog.minitab.com/ko/blog/how-to-choose-the-best-regression-model?hsLang=ko) [회귀분석](https://blog.minitab.com/ko/blog/tag/회귀분석) | 6 분 읽기 올바른 선형 회귀 분석을 선택하기란 어려울 수 있습니다. 단일 표본만으로 이를 모형화하려고 해도 크게 도움이 되지 않죠. 이 글에서는 모형을 선택할 때 일반적으로 사용되는 통계적 방법 및 이러한 과정에서 겪을 수 있는 어려움을 소개하고, 최상 회귀 모형을 선택하기 위한 실질적인 조언을 제공하고자 합니다. [계속 읽기!](https://blog.minitab.com/ko/blog/how-to-choose-the-best-regression-model?hsLang=ko) ## [회귀 분석 결과를 해석하는 방법: P값과 계수 How to Interpret Regression Analysis Results: P-values and Coefficients](https://blog.minitab.com/ko/blog/adventures-in-statistics-2/how-to-interpret-regression-analysis-results-p-values-and-coefficients?hsLang=ko) [회귀분석](https://blog.minitab.com/ko/blog/tag/회귀분석) | 6 분 읽기 회귀 분석을 통해 하나 이상의 예측 변수와 반응 변수의 통계적 관계를 설명하는 공식을 도출할 수 있습니다. Minitab Statistical Software를 사용하여 회귀 분석 모형을 적용하고 잔차 그림을 확인했다면 이제 결과를 해석해야 합니다. [계속 읽기!](https://blog.minitab.com/ko/blog/adventures-in-statistics-2/how-to-interpret-regression-analysis-results-p-values-and-coefficients?hsLang=ko) ## [회귀 분석의 전체 유의성 F-검정이란 무엇일까요? What Is the F-test of Overall Significance in Regression Analysis?](https://blog.minitab.com/ko/blog/adventures-in-statistics-2/what-is-the-f-test-of-overall-significance-in-regression-analysis?hsLang=ko) [Regression Analysis](https://blog.minitab.com/ko/blog/tag/regression-analysis) | 3 분 읽기 지난 번에는 회귀 계수와 개별 P값을 해석하는 방법에 대해 소개한 바 있습니다. 또한 R-제곱을 해석하여 모형과 반응 변수 간 관계의 강도를 평가하는 방법도 설명했습니다. 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