To prepare for this Part 1 of your Assignment:Review this week’s Learning Resources and media program related to multiple regression.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Part 1 Assignment:Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.Part 2To prepare for this Part 2 of your Assignment:Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.Consider the following:Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Part 2 Assignment:Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of outpu

Sample Case with a report Dawit Zerom, Instructor Case Study: Ft. Myers Home Sales Due to a crisis in subprime lending, obtaining a mortgage has become difficult even for people with solid credit. In a report by the Associated Press (August 25, 2007), sales of existing homes fell for a 5th consecutive month, while home prices dropped for a record 12th month in July 2007. Mayan Horowitz, a research analyst for QuantExperts, wishes to study how the mortgage crunch has impacted the once booming market of Florida. He collects data on the sale price (in $1, 000s) of 25 single-family homes in Fort Myers, Florida, in January 2007 and collects another sample in July 2007. For a valid comparison, he samples only three bedroom homes, each with 1,500 square feet or less of space on a lot size of 10, 000 square feet or less. Excel data are available in Titanium page. Use the sample information (appropriate descriptive statistics) to address the following aspects. Your report should not exceed one page. Compare the mean and median in each of the two sample periods. Compare the standard deviation and coefficient of variation in each of the two sample periods. Also incorporate quartiles. Discuss significant changes in the housing market in Fort Myers over the 6-month period. Sample Case with a report Dawit Zerom, Instructor Sample Report The steady stream of dismal housing market statistics lately is a clear indication that the national real estate market is in a serious crisis. The uncertainty is also forcing lenders to slow down on their lending, and as a result obtaining a mortgage is becoming increasingly difficult even for people with solid credit. In light of this situation, Mayan Horowitz conducts a small study to learn if the national trend also affects the once booming market of Florida by focusing on Fort Myers, Florida. To see the trend of the housing market over a 6-month period, he obtains price of 25 single family homes in January 2007 and another comparable 25 single family homes in July 2007. Table 1 below shows the most relevant descriptive analysis. The average home price in January of 2007 was $231, 080 versus $182, 720 in July of the same year. That is about a 21% drop in the average home price. Also in January, half of the homes sold for more than $205,000, versus only $180,000 in July (see the median). Since the mean is more effected by outliers (in this case, a few relatively high prices), the median is an appropriate measure of central location. While measures of central location typically represent where the data clusters, these measures do not relay information about the variability in the data. Both the standard deviation and the coefficient of variation are higher in January indicating that home prices were more dispersed in January. Further, while 25% of the houses were sold at the price of $158, 000 or less in January, the first quartile for July is only $133, 000. The third quartile is also larger in January. In summary, the above statistical analysis shows Fort Myers is no different from the national trend, and is well affected by the housing crisis. On a positive note, over the 6-month period, Fort Myers became a buyers’ market; of course for people who can borrow. Sample Case with a report Dawit Zerom, Instructor Table 1: Summary measures for January 2007 and July 2007 2007 Home Sale Prices in Fort Myers, FL January July Mean 231.08 182.72 Median 205.00 180.00 Mode 220.00 210.00 Sample Variance 12926.08 4813.88 Standard Deviation 113.69 69.38 Coef. of Variation 0.49 0.38 Range 510.00 314.00 Minimum 100.00 86.00 Maximum 610.00 400.00 1st Quartile 158.00 133.00 3rd Quartile 256.00 215.00 I have attached sample report on how to do the assignment