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August 27, 2019
I TESTED THIS AND IT WORKED SO IT SHOULD WORK FOR YOU Run a bivariate logistic regression with the following from the GSS2008 dataset (A UPDATED GSS08 HAD BEEN UPLOADED): Dependent variable: OWNGUN (should be located near the bottom of the list) Independent variables: DEGREE, SEX, AGE, RACE If you do not get a “Categorical Variables; Codings box in between the Model Summary and Classification Table, let me know. Explain […]
August 27, 2019
Week 6 Collaborative Group Assignment Attached Files: File Writing Rubric.doc (43.5 KB) The following scenario describes conditions in Central City in the days immediately following a major weather event impacting the county’s western edge. Using the four emergency management disciples (preparedness, response, recovery and mitigations), the Incident Command System (ICS) and the National Incident Management System (NIMS) readings found in textbook and supplementary materials, provide written response to scenario discussion […]
August 27, 2019
List at least 5 others factors and provide a justification for each measure’s inclusion. Remember, the variables must be quantifiable, and if these variables are not readily available (indicate whether you believe this data is available or not), then how would you collect this data. So if y = is the number of crimes I will include 1 factor: number of street lights, you will now add your 5 (based […]
August 27, 2019
First, consider the following variables: PVS551 (Percent of Population Receiving Supplemental Nutrition Assistance Program Benefits: 2009) DMS468 (Percent of Population Black: 2008) DMS470 (Percent of Population Hispanic: 2008) DMS506 (Divorce Rate per 1,000 Pop: 2008) DMS507 (Average Family Size: 2008) Without running any analysis, discuss why (or why not) the 4 DMS variables (independent variables) could plausibly impact PVS551 AND whether you think the impact will have a negative or […]
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