Correlation and Regression Lines Problem Set
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Questions and Answers

Qual es le definition de correlation?

  • Le correlation es un typo de graphico
  • Le correlation es un technica de extrapolation
  • Le correlation es un concepto mathematic que non ha application in le statistica
  • Le correlation es un methodo statistic pro evalutar le relation inter duo variabiles (correct)

    • Qual es un proprietate de correlation?

  • La correlation non pote haber un valor superiore a 1
  • La correlation non pote haber un valor inferiore a -1
  • La correlation es solmente applicabile a datos qualitative
  • La correlation non es affectate per valores atypic (correct)

    • Como se definisce le linea de regression?

  • Un linea usate solmente in le extrapolation
  • Un linea que non ha relation con le datos
  • Un linea que passa per le puncto medie del datos
  • Un linea que representa le relation inter le variabiles e es usate pro facer predictiones (correct)

    • What are the 4 properties of correlation?

    <p>Strength, direction, form, outliers</p> Signup and view all the answers

    What are the 4 steps for calculating correlation?

    <p>Standardize data, calculate covariance, calculate variance, divide covariance by product of standard deviations</p> Signup and view all the answers

    What is the definition of the least squares regression line?

    <p>A line that minimizes the sum of the squared differences between actual and predicted values</p> Signup and view all the answers

    What are the 4 properties of correlation?

    <p>Strength, direction, form, and outliers of correlation</p> Signup and view all the answers

    What is the main purpose of extrapolation in regression analysis?

    <p>To predict the value of the independent variable outside the range of observed data</p> Signup and view all the answers

    In least squares regression analysis, what does 'regression to the mean' refer to?

    <p>The phenomenon where unusually large or small values tend to be followed by more average values</p> Signup and view all the answers

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