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  1. Why is it appropriate to use the variable "year event occured" as the explanatory variable and "estimated year event occured" as the response variable?
    A. it's because the explanatory variable is the one may or may not affect the response variable.
    also the value of estimated year is occured following my own idea and it's dependent.
  2. What would the scatterpoint look like if you had guessed the correct year for each event?
    A. It would be looked like a positive scatteropoint.
Chart description
Chart description
  • Which variable did you use as the explanatory variable when relating the number of strikes and lockouts with
    the percentages of the total labor force with union membership (in your first scatter plot)? why?
    A. I used strikes and lockouts as response variable and percentage of the total labor force as explanatory variable
    Because it seems like looks better to understand and analysis datas that we have.
  • What type of association is there between the number of strikes and lockouts with the percetage of the total labor force with union membership?
    A. i think it's positive association between two variables.
  • Explain what your second scatterplot shows
    A. Second scatterplot shows that both values, but it seems like hard to analysis and conclude about association between them.
  • What type of association is there between the variables you related in your second scatter plot, or are the variables not associated?
    A. i think the variables not associated, because if i draw a line which connects all datas, they are not on the line or place near the line at all.
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    Chart description
  • which aspects of the data does the bar graph help internet?
    A. This kind of Bar graph we are looking at is good to compare two data.
  • Is there an association between the variables in your scatterplot? Explain.
    A. I don't think this variables have any association. Because they are concentrated on some area without any regular pattern.
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  • Now that we can see all the states, are there any trends or associations in the data? Explain.
    A. I think it's hard to say shown data have positive association, but most data is increasing when another value is increasing also.
  • Are there any data points that appear to stand away from the rest of the data? If so, which one(s) and what makes them stand out
    A. Yes, Maine state is the one stand away from other data. It's because their governor's salary was almost half amount when we compared with other states. And also, per capita income is also less than other states.
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