Analysis Of The American Community Survey

The two primary data sources discuss in this abstract will be the Uniform Crime Reports (UCR) and the National Incident Based Reporting System (NIBRS). These data sources are reporting mechanism that tracks criminal activities in the United States and foreign countries. To articulate why crime exists and the extent of a crime, criminologists use records that are collected, compiled, and analyzed by government agencies such as the federal government’s Bureau of Justice Statistics (Siegel, Larry J., 2006, p 31). The official data is used to focus on the social forces that affect crime in regards to the relationship between crime and poverty, criminologist uses the data which provides

The independent variable is married status (single vs. divorced vs. married); the dependent variable is happiness measured on a scale from 1 to 50. This situation is inappropriate—there are more than 2 groups

Because of the method of monthly data collection, absolute randomness could not be obtained; however, it was decided that 5 iterations was sufficient because the sixth iteration showed a decrease in the quality of the residual plots. The first test performed was the p-value test of the individual variables. A p-value is the probability, ranging from 0 to 1, of obtaining a test statistic similar to the one that was actually observed. The only input that did not have a p-value less than 0.05, which was the chosen significance level, was the “Number of Walmarts” variable; the number of Walmarts has no specific effect on the output, property crime rate. The R2 of the analysis, or the coefficient of determination, provides a measure of how well future outcomes are likely to be predicted by the model. R2 values range from 0 to 100% (or 0 and 1) and the

My original model was able to pass most of the assumptions but not all. The error terms were normal (Figure 1) and there were no serious outliers, multicollinearity, or autocorrelation. However, the scatter plot of the predicted Y values and the residuals showed signs of heteroscedasticity, depicted in Figure 2. Given that, I transformed my dependent variable by squaring the values of the dependent variables. This corrected the heteroscedasticity, as shown in Figure 3 and the error terms still followed a normal distribution, as given by Figure 4. My final model now checked off all of the assumptions and I could move forward.

What is the r-value? Does the r-value suggest a positive or negative correlation? Is the correlation weak or strong? Looking at the significance value, is the correlation significant?

The Dearborn community has experienced a transformation in population of the last ten years. This transformation can be due to a number of issues, but it begins with the surrounding cities not just the city of Dearborn. Examining the current trends and conditions of the Dearborn community, it is important to focus on the population and how it is broken down. There are 96,474 people that live in Dearborn, MI and 89.1% are white. Arab Americans fall under white Americans which are not stated on any census. It is very difficult analyze sociological demographics when it is not

Project two in ECON-E 281 - APPLIED STAT FOR BUS & ECON II consisted of the students evaluating three independent variables such as Pickup Time, Delivery Time, and Mileage. The dependent variable was Cost. Only one independent variable could be selected when applying “ONLY” the p-value approach. The first step, I selected the Data then the Data Analysis tool. Next select Regression. The Input Y Range I selected the Cost data. The Input X range I selected the first independent variable Pickup time. Then check marked the boxes Labels, Confidence Level 95%, New Worksheet Ply, Residuals, and Residuals Plots. After checking the boxes I pressed OK. This gave me my first regression model. I used this process for the next two independent variables

1) You read that infant nutrition is positively correlated with later intelligence, the correlation is r = .75. Is this a strong or weak relationship and which direction is the relationship going? (2pts)

Gallup is an organization which works to create accurate statistics reflecting the population of various countries. Gallup has been around for more than eighty years, and has the most knowledge about the views of people than any other organization in the world. Gallup has several different series of polls, one in particular is the Gallup Poll Social Series. This poll series is used to figure the view of US adults on a wide range of topics. Gallup knows what they are doing, and have set up their polling process to be as representative to the real population as possible, such as weighing the answers of participants based off of actual US demographics, and calling both cellular and house phones.

One question asked is if the PS score is a valid predictor. To determine the answer to that question, a correlation coefficient was determined between the PS score and the performance score. The correlation coefficient between the PS score and the performance score was 0.41. Assuming a p<0.5 and r=.37, the value of .41 is statistically significant. This means that the PS score can be a valid predictor

Looking at the crosstab, there are five dependent variable attributes/rows. The first distinction between two dependent attributes interests me the most is college diploma (e.g., bachelors degree). It has a standard residual of .0 for Asian, -.7 for Black, -.7 for Hispanic and 1.3 for Whites. The results show that Black and Hispanic are less likely to have completed college. As for Whites, it results showed that they are

I am testing the correlation between the dependent variable Total Number of Robbery Cases and the independent variables Poverty Rate, Unemployment Rate, and graduation rate (bachelor degree). I chose to work with these topics after my brothers tires were stolen off of his car in what I would describe as a lower class neighborhood. My family blamed the mishap on the people living in that area judging them off of their run down houses to be poorly educated, broke, and apparently thief’s. Therefore in order to see if my family’s judge of character is correct or not I will be making the hypothetical claim that all three of the independent variables either have a positive or negative effect on the number of robberies. Therefore for all three of my independent variables the null hypothesis will be Hο: β=0 and the alternative hypothesis will be Ha: β≠0

The first control variable, people the respondent knows suicide over lifetime, was measured as a nominal variable in the data set, but has a quantitative type of categories, ranging from 0 to 10, as well as 20, 21,50, 70, 95: 1 or more, number unknown, with missing values: 98 Don’t know, 99. No answer. I recoded this variable into a nominal variable with three categories: 0. None, 1. Few and 2. More.

The regression results match the theory that it practice because multiple R is 0.22. Not only positive but large enough that one can conclude that the coefficient is positive. Including my correlation being positive it is also happens to be statistically significant. Because the p-value was 0.00240546, putting itself in the 99% assuring that it is statistically significant because it is less than 5%., meaning that these results did not happen by just chance. Although the coefficient is procyclical and is statistically significant, problems can arise with the simple empirical model. Omitted variable bias is one of them, what if one misses important data for the X coefficient? Those few missing data points could completely the graph of the data. Another problem is bias that can cause either variable to influence the other. X can cause Y, and Y and cause X. Although these are not the only two problems with the simple empirical model, both of these can have a major impact on the X and Y

Test results showed that most of the independent variables were positively related in the strength of the