shows how close we guess years historical events occured

  • The independent variable is the actual year, that will not change. The dependent variable are what years we guessed as individuals
  • If we had guessed all of the years correct, it would just look like a single set of data
  • shows how close we guess years historical events occured

  • The explanatory variable is the percentage of workers in unions, since strikes have very strong correlation with union support.
  • The graph shows strong positive correlation between the sets of data
  • the scatterplot locates how many strikes there were in accordanance with the percentage values given.
  • the variables are associated because of the trendline
  • this graph shows the governors salery in their state compared to the average income of their state

  • The data helps interperate how much money a Governor makes compared to others
  • There is weak positive correlation, because the data points are all over but in general the salery increases based on the states average income
  • this graph shows the governors salery in their state compared to the average income of their state

  • there is even less association when we see all of the states because the data oints are very scattered like a blob.
  • the most outstanding variables are those furthest away from the bulk of the data, usually called an outlier.
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