Okay, need to write a markdown document about the Sum of Squared Residuals (SSR) for a Korean wiki. Let start by understanding the structure and requirements.

First, the should be in H1. The main title given is "잔차 제합", so that's.

Next, the needs an overview or introduction section. I should explain what SSR is in simple terms. Maybe start its role in regression analysis, how it measures the variance in the dependent variable not explained by the model. Also mention that it's a key metric for assessing model fit.

Then, detailed sections using H2 and H3. Possible sections could be: 수학적 정의, 의미와 해석, 다른 통계량과의 관계, 활용 예시, 관련 개념. Each of these H2 sections can have H3 subsections if needed.

Under 수학적 정의, I need to present the formula. The SSR is the sum of the squared differences between observed and predicted values. So the formula would be SSR = Σ(y_i - ŷ_i)^2. Also, explain each symbol here. Maybe break it down into components: residuals, squaring them, summing up.

In 의미와 해석, discuss what lower SSR means (better fit), how it's used in model comparison. Also note that SSR alone isn't enough; it's better to use with other metrics like R-squared.

For 다른 통계량과의 관계, link SSR to SST and SSE. Explain the relationship SSR = SST - SSE, and how they partition the variance. Also mention how SSR is used in calculating R-squared (R² = 1 - SSR/SST).

활용 예시 could include an example in linear regression. Maybe a simple case where a line is fit to data points, compute residuals, then square and sum them. Also, mention applications in fields like economics, biology, etc.

Related concepts might include R-squared, Mean Squared Error (MSE), Adjusted R-squared. Briefly explain each and how they relate to SSR.

Need to ensure accuracy. Check formulas and definitions. For example, make sure that SSR is indeed the sum of squared residuals, sometimes called the residual sum of squares (RSS). Also clarify that in some contexts, RSS might refer to the regression sum of squares, so it's important to note that SSR here is about residuals.

Use proper terminology in Korean, like 잔차 for residuals, 회귀분석 for regression analysis. Also, explain any technical terms when first mentioned.

Markdown formatting: Use headers correctly, bullet points for lists, code blocks for formulas if needed. Since it's Korean, ensure proper spacing and punctuation. Tables could be useful in explaining the decomposition of variance (SST = SSR + SSE), so maybe a table here.

Length should be at least 800 characters. Given the sections, that's manageable. Need to elaborate each section sufficiently without being too verbose.

Potential mistakes to avoid: Confusing SSR with SSE (some sources use different abbreviations). Need to confirm that SSR here is the sum of squared residuals, which is also sometimes called SSE. Wait, actually, in ANOVA, SSE is the error sum of squares, which is equivalent to SSR here. Need to clarify that terminology can vary, but in the context of regression, SSR is the residual sum of squares.

Also, ensure that the explanation of R-squared is accurate. R-squared is 1 minus the ratio of SSR to SST, which represents the proportion of variance explained by the model.

Examples: Maybe use a small dataset to calculate SSR. For instance, given actual y values [3, 5, 7] and predicted values [2.5, 5.1, 6.8], compute each residual, square them, sum up. Show the calculation steps.

Need to check if all these points are covered and structured properly. Also, make sure the document flows logically from introduction to detailed sections, then to examples and related concepts.