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Mindmap

Correlations

Matthew Li Uni MM Englisch

Inhalt der Mindmap

Correlations

  1. Bivariate Regression

    • Predictions
    • Linear Equation
      • Line of Best Fit
      • Y = a + bX
      • b = Slope
      • a = Y-intercept/constant
  2. Factors That Affect Correlation

    • Range Restrictions
    • Heterogenous Sample
    • Unequal Split of Responses
    • Outliers
  3. Pearson's Correlation Coefficient/Bivariate Correlation

    • Relationship
      • Direction
        • Positive
        • Negative
      • Form
        • Linear
        • Non-Linear
      • Association/Degree
        • Negative
        • Positive
        • Magnitude
          • Small Effect
          • Moderate Effect
          • Large Effect
    • Output
      • r
      • p-Value
    • Scatterplots
    • Cohen's Cut-Off
    • Significance t-Test
  4. Coefficient of Determination

    • r2
    • 1 - r2 = Error Variability
    • Shared Variance
  5. Assumption of General Linear Model (GLM)

    • Normality
      • Bell Curve
      • Skewness
      • Kurtosis
    • Linearity
      • Linear
      • Non-Linear
        • J-Curve
        • U-Shape
    • Homogeneity of Variance
    • Kolmogorov-Smirnov Test
  6. Data Transformation

Informationen

Beschreibung
Uni MM (HPS301 Research B) Mindmap am Correlations, erstellt von Matthew Li am 10/11/2017.
Erstellt von
Matthew Li
Aufrufe
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