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Interpreting Graphs, Correlation, Causation, and Omitted Variables definitions

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  • Correlation
    A relationship between two variables that enables predictions based on observed patterns in their values.
  • Causation
    A direct link where one event or variable triggers another, forming a cause-and-effect connection.
  • Positive Correlation
    A scenario where both variables increase or decrease together, reflecting a direct relationship.
  • Negative Correlation
    A situation where one variable rises as the other falls, indicating an inverse relationship.
  • Direct Relationship
    A pattern where changes in one variable are matched by similar changes in another variable.
  • Inverse Relationship
    A pattern where increases in one variable correspond to decreases in another variable.
  • Graph Interpretation
    The process of analyzing visual data representations to understand relationships between variables.
  • Omitted Variable Bias
    A distortion in analysis caused by leaving out important factors, leading to misleading conclusions.
  • Reverse Causality
    A pitfall where the effect is mistakenly identified as the cause, confusing the direction of influence.
  • Prediction
    An estimate of future outcomes based on observed relationships between variables.
  • Experience
    A factor that can influence outcomes, such as wages, but may be left out in simple analyses.
  • Pitfall
    A common error or trap encountered when analyzing graphs or relationships between variables.
  • Variable
    An element or factor whose value can change and is often represented on graph axes.
  • X Axis
    The horizontal line in a graph, typically representing the independent variable.
  • Y Axis
    The vertical line in a graph, usually representing the dependent variable.