Correlation and Regression with SPSSAs you work through this SPSS exercise, consider the application...

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Correlation and Regression with SPSSAs you work through this SPSS exercise, consider the application of the correlation and regressionanalysis to your research topic.To prepare for this Application:   	Review the assigned pages in Chapter 16 in the course text Research Methods in the Social Sciences. 	Review the video program for this week, located in the Learning Resources. 	Review Lessons 31 and 33in the course text Using SPSS for Windows and Macintosh: Analyzing and Understanding Data. 	Select one of the data sets from the GSS data disk to use for this Application.  The assignment:   	Craft a 5- to 7-page paper in which you do the following:  	 		State the statistical assumptions for this test. 		Using the data set you have selected, choose two continuous variables for which you would like to test a relationship. 		Develop the null hypothesis and the alternative hypothesis. 		Use SPSS to calculate a correlation coefficient and a simple linear regression. You can decide which should be the independent (predictor) variable and which should be the dependent (criterion) variable. 		Decide whether to rejector retain the null hypothesis. 		Generate a scatterplot to visually assess the relationship between two variables. 		Generate syntax and output files in SPSS. You will need to copy and paste these into your Application document. 		Based on your SPSS analysis, report the results using correct APA format. Your report should include the following: 		 			SPSS syntax and output files 		 		 	 	   
	
Document Preview: Correlation and Regression with SPSSAs you work through this SPSS exercise, consider the application of the correlation and regression analysis to your research topic. To prepare for this Application:Review the assigned pages in Chapter 16 in the course text Research Methods in the Social Sciences. Review the video program for this week, located in the Learning Resources.Review Lessons 31 and 33 in the course text Using SPSS for Windows and Macintosh: Analyzing and Understanding Data.Select one of the data sets from the GSS data disk to use for this Application.The assignment:Craft a 5- to 7-page paper in which you do the following:State the statistical assumptions for this test.Using the data set you have selected, choose two continuous variables for which you would like to test a relationship.Develop the null hypothesis and the alternative hypothesis.Use SPSS to calculate a correlation coefficient and a simple linear regression. You can decide which should be the independent (predictor) variable and which should be the dependent (criterion) variable.Decide whether to reject or retain the null hypothesis.Generate a scatterplot to visually assess the relationship between two variables.Generate syntax and output files in SPSS. You will need to copy and paste these into your Application document.Based on your SPSS analysis, report the results using correct APA format. Your report should include the following:SPSS syntax and output files

David · Accepted Answer

This study involves to find how total family income differs with highest year of school education i.e. can years of school completed affect the total family income. One of the data sets from the GSS data disk is selected to observe whether the claim is valid or not. The data set has observations on two characteristics “highest years of school completed” of an individual and “total family income” of the household. There are 1500 respondents interviewed. 
The descriptive statistics of total family income and highest years of school completed are given in the following table. It can be seen that total family income has an average 11.05 which corresponds of $20000 to $24999. The variable highest year of school completed has an average of 13.69 with variability little below of 3. Avoiding the missing observations, the valid number of observation is 1439 here.
	Descriptive Statistics
	
	N
	Minimum
	Maximum
	Mean
	Std. Deviation
	TOTAL FAMILY INCOME
	1440
	1
	13
	11.05
	2.330
	HIGHEST YEAR OF SCHOOL COMPLETED
	1499
	0
	20
	13.69
	2.888
	Valid N (listwise)
	1439
	
	
	
	
In order to find whether there is any association between total family income and highest year of school education, we first develop a scatter plot. The scatter plot is given below:
The scatter plot shows that there is a positive association between total family income and highest year school completed. 
	Correlations
	
	
	TOTAL FAMILY INCOME
	HIGHEST YEAR OF SCHOOL COMPLETED
	TOTAL FAMILY INCOME
	Pearson Correlation
	1
	.235**
	
	Sig. (2-tailed)
	
	.

Correlation and Regression with SPSS As you work through this SPSS exercise, consider the application of the correlation and regressionanalysis to your research topic. To prepare for this Application:...

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