Regression Analysis

Paper Summary:

This paper discusses whether police use different standards of severity when dealing with resident versus non-resident drivers in Florida. The paper uses the regression analysis, which estimates the significance of the variation of the dependant phenomenon with the independent and the influence of the latter on the former. The paper explains its analysis and shows that a relationship does exist.

From the Paper:

"The hypothesis is tested with the confidence level of 95%, thus the allowed chance of rejecting no relationship between the variables when there is actually this relationship, is 5%. Decreasing the confidence level to 90% will give more errors in the model and the model did not result in better relationship. Having carried out this multifactor regression, the result revealed that there is no statistically significant relationship between the over speeding and the fact that the person is a resident or non resident and the gender of the person. The first problem with the model could be the very data set as out of the 536 observations in the population, only 136 were the cases when people were none residents. Thus, the results could be distorted. The R2 in the model is extremely low and reveals that very little variation in the severity of this crime could be explain by the factors in the model. P-values are low only for the intercept and none-residence factor."

Sample of Sources Used:

• Available from: http://socserv.mcmaster.ca/jfox/Courses/soc740/lecture-5.pdf#search=%22dummy%20variable%2C%20regression%22
• Schroeder, L. D., Understanding Regression Analysis: An Introductory Guide, Sage Publications, 1996.

More papers on Regression Analysis:

• Essay # 143506 : "Regression Analysis"
• Term Paper # 95227 : "Regression Analysis"
• Term Paper # 21868 : "Correlation and Regression Analysis"

APA Citation:

MLA Citation: