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Karteikarten

7. Statistics - Correlations

Patrick Bodenhausen Englisch 25 Karten

Karten in diesem Stapel (25)

  1. 1Correlations - the ________ of a ________ between two or more variables.measure
    relationship
  2. 2What does Positive Correlation mean?When the value of one item increases, then the value of the other item is likely to increase.
  3. 3What's an example of a positive correlation?The relationship between height and weight.
    *Not strong because there are plenty of short people who weigh as much or more than tall people.
  4. 4What's an example of a strong positive correlation?The relationship between an increase in wealth and an increase in spending.
  5. 5What does Negative Correlation mean?An inverse relationship - when one event increases, the other decreases.
  6. 6What's an example of a negative correlation?A student who has many absences has a decrease in grades.
  7. 7Correlation does not always equal ________.causation
  8. 8A statistic that indicates the degree of linear relationship between two variables.Pearson Product-Moment Correlation Coefficient
  9. 9Pearson Product-Moment Correlation Coefficient: Ranges in value from ________ to ________.+1.0 to -1.0
  10. 10Pearson Product-Moment Correlation Coefficient: +1.0 indicates...a perfect direct linear relationship.
  11. 11Pearson Product-Moment Correlation Coefficient: +1.0 means that when the value of something increases...the value of the other item increases.
  12. 12Pearson Product-Moment Correlation Coefficient: -1.0 indicates...a perfect inverse relationship.
  13. 13Pearson Product-Moment Correlation Coefficient: -1.0 means that when something trends upward...the other event is likely to trend downward.
  14. 14A graph that shows to what degree two variables correlate.Scatter Plots
  15. 15A graph of a correlation.Scatter Plots
  16. 16Scatter Plots: Each variable is plotted on...an x- and y-axis.
  17. 17Scatter Plots: Each individual score or measurement is plotted as a single point at the junction where...the two variables meet.
  18. 18Scatter Plots: When plotted, if the scores trend in a pattern from lower left to upper right, then...the correlation is positive.
  19. 19Scatter Plots: When plotted, if the scores trend from the upper left to the lower right, then...the correlation is negative.
  20. 20Scatter Plots: When plotted, if the scores appear in a random or circular fashion, then...the correlation is neither positive nor negative.
  21. 21Scatter Plots: A perfectly random or circular array of scores would have a ________ Pearson coefficient, which means...zero
    the two items do not correlate well.
  22. 22Scatter Plots: With a ________ ________, there is no ability to predict results.zero coefficient
  23. 23What is the benefit of a scatter plot?The correlation is easily identified by the shape created by the plotted points.
  24. 24Scatter plots indicate the degree of strength of a correlation by...how close the numbers fall in line.
  25. 25Scatter Plots: As plotted points come closer to falling in a perfectly straight line, they also come closer to a perfect +1.0 or -1.0 ________ _________ and have greater ________ ________.Pearson coefficient
    predictive value

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Karteikarten am 7. Statistics - Correlations, erstellt von Patrick Bodenhausen am 03/10/2019.
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