Geography Portfolio

Part I After a study was done gathering data of poverty and crime rates in Town X, certain assumptions were made about the connection between the two. One such assumption was that in areas where the amount of kids who get free lunches increases, so does the crime rate. Finding this a bit far fetched and believing it may lack a strong correlation, I decided to take a look at the data myself and run a regression analysis. The data I had to work with included: - Percent of kids given a free lunch in an area - Crime rate per 100,000 people The question that I sought out to answer was "Is the percentage of kids receiving a free lunch in an area correlated to higher crime rates?" The news station that made this assumption offers the reason for the question, and by running a regression analysis, I can prove or disprove their claim. By putting the data into SPSS and running a linear regression analysis, I can see the regression equation and the level of correlation and signi...

Part I: Correlation This section of the assignment focused on correlation and using tools to analyze data. Tools that were used includes software like Microsoft Excel and SPSS and tests, Pearson Correlation and scatter plots. With these, we are able to critically look at data to find patterns. First, we were given data on sound levels at various distances. One column had distance as feet and the other column had sound level as decibels. The data is shown below in figure 1. Figure 1: Sound level data provided Using Excel, we made a scatter plot to visually represent the data. The resulting scatter plot is shown below in figure 2.  Figure 2: Scatter plot of sound level, Microsoft Excel Taking it further and putting the data into SPSS, we can analyze it using Pearson Correlation. This takes the data and looks at how it changes in relation to each variable. Figure 3 below is the result of running that correlation. Figure 3: Correlation Table fro Distance and Soun...