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了解認識質性 / 類別變數的特質，以及在迴歸模型中所扮演的角色與功能。
在線性迴歸模型的大架構下，學習共變數分析 (ANCOVA) 的模型建構、診斷與詮釋。
在線性迴歸模型的大架構下，認識變異數分析 (ANOVA) 以及適用場景。
學習基本實驗設計原則。
比較不同 ANOVA 設計以及因子設計的主要效果、交互作用等。
學習中多重比較與配對分析的策略。
透過實際案例的實作，體悟線性迴歸模型大架構的一致性與合用性。
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July 2025
3 assignments
本單元介紹：1. 共變數分析 (ANCOVA) 的基本概念與應用情境；2. 類別變數 / 質性變數在迴歸模型中的表示方式，例如指標變數(Indicator Variable)；3. 兩層以上的類別變數如何納入模型；4. 類別變數與連續變數間交互作用的意涵與建模方式；5. 建構 ANCOVA 模型的實務準則與迴歸係數解釋的注意事項
19 videos2 readings
本單元介紹：1. 變異數分析 (ANOVA) 分析流程；2. 變異數分析 (ANOVA) 範例說明；3. 變異數分析 (ANOVA) 多重比較／成對比較；4. 變異數分析 (ANOVA) 診斷；5. 實驗設計原則
16 videos1 reading1 assignment
本單元介紹：1. Two-Way/Two-Factor ANOVA 種類：有/無重複測量；2. Randomized Block Design 的 Treatment effect、Block effect、Diagnostics；3. 因子設計 (Factorial Design) 的主要效果、交互作用、Diagnostics
5 videos1 reading
本單元介紹：1. 範例講解 1-新建住宅資料 (New HOMES Data) ；2. 範例講解 2-車輛燃油效率資料 (Vehicle Fuel Efficiency Data) ；3. 範例講解 3-區組成本資料 (Block Cost Data) ；4. 直方圖、散佈圖矩陣與盒鬚圖說明；5. 迴歸模型建構、結果分析以及詮釋
10 videos1 reading1 assignment
1 assignment
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