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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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y= 0.76x -5.4 + e With each percentage point increase in the population with a high school diploma, there should be 0.76% point increase in voter turnout. The Y-Intercept is -5.4 so when the percentage of people in a state with high school dimplomas is 0, there should be -5.4% of the voting age population to actually vote.

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In-class Assignment 5 - Group 21 Wolves_HTML

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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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Group 14
Jackson Beck
Gordie Stewart

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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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Group 30 something

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Here, voter turnout is regressed on the percent of a state's population that completed high school. I would consider the results to be linear, and Hawaii seems to be an outlier because despite the high rate of people who have completed high school there was still low voter turnout.

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Figure 1 presents the relationship between the percentage of the population with a high school diploma and the percentage of the voting population that voted in each state. Since both my dependent and independent variables are in their raw forms, I can easily interpret them. The scatterplot has a strong linear relationship.

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In-class Assignment 5 Molly, Jon, Dennis

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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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As voter turnout increases so does education. It's a linear relationship because for each 1 point percentage increase in high school diplomas (our x value), voter turnout increases by .76. The intercept in this case is useless since no state has 0% high school diplomas, and no state could have a negative value (-5.4 being our intercept).

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Every percent point increase in the population of those with a high school diploma is associated with a 0.7645 percentage point increase in voter turnout. The plot of population with a high school diploma relative to voter turnout reveals a correlation between the two. Although, Hawaii and Minnesota are large outliers.

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Looking at the plot to determine the realtionship between having a high school diploma and voting, there seems to be a positive linear relationship, beause most points are on or near the regression line. There are some outliers, such as Hawaii, Wisconsin, and Oaklahoma, but they do not greatly take away from the significance of the relationship.

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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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The Unicorns

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The Unicorns

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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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Rated

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In-class Assignment 5 Joe Scheitler, Nick Pantlin, Avery Larsen

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Jessie Gordon and Alexis Alltop

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From looking at the plot, we can see that the relationship is linear but there are also outliers. A significant outlier is Hawaii. We think it is linear because the points tend to follow the RZ line. The regression table showed that 19.4 percent of the varirance in voter turnout can be explained.

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The results of the regression appear to be that our goodness of fit is poor although it is linear. We got an estimate coefficient for High School Diploma of .764, meaning that with a one percent rise in the population with high school diplomas should cause a .764 rise in voter turnout per 100,000 people in that state.

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Polar Bears

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A one percentage point increase in the population with a High School Diploma is associated with a .0076 percent increase in the voting population that voted. The slope is positive. Hawaii is the closest to being a significant outlier in the graph. The t value for the estimate is 3.58.

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Egan Harper, Kyle Goodman, and Joseph Thomasson

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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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Golden Geese

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Generate regression output for the bi-variate regression indicated in the question. Interpret the results. Produce the associated plot and indicate whether you think the relationship is linear and whether there are any outliers.

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Thund-R-Catz

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In-class Assignment 5 Thund-R-Catz: Logan Osborne, Christian Haesenmeyer, Michael Ahrens

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The coefficient of the hsdiploma variable is 0.765. That means that every percentage point increase in the population with a diploma is associated with a 0.76 increase in voter turnout. The intercept shows that if there was any state where the high school diploma rate was 0, that we expect -5.4% of the population to vote.

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Indicated within the graph, there is a weaker positive relationship between turnout and education. Furthermore, there are considerable outliers that do not match the regression trend such as Minnesota which boasts a much higher voter turnout than predicted by the regression line. Another outlier would be Hawaii which possesses a much lower turnout than predicted.

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In-class Assignment 5 - Group 3: Connor Rosabal, Emanuel Klinge, Jenna Snyder

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Low voter turnout rates has been a hot toic in national politics as of recent. Politicians and other pubic figures search tirelessly for the reason behind this abominably small number, and hope that by searching for the cause of lower turnout can recrtify it and increase voter turnout.