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Wk8assgn rsch 8210 quantitative reasoning and analysis

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Testing for Correlation and Bivariate Regression
Belkys Stallings
January 18, 2020
RSCH 8210/7210/6210: Quantitative Reasoning and Analysis
Walden University

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Testing for Correlation and Bivariate Regression
For this assignment, we examine correlation and bivariate regression testing.
Using the SPSS High School Longitudinal Study dataset, we evaluate if the correlation
and bivariate regression assumptions are met and report the effect size and will display
the data for the output. Then we will explain the implications of social change.
The variables I decided to use for this analysis are the T1 Socio-economic status
composite and the T2 Scale of student’s mathematics self-efficacy.
Research Question
Is there a significant relationship between socio-economic status and a student’s
mathematics self-efficacy?
Results
Using bivariate correlation analysis, we found a correlation coefficient of 0.124
between the socio-economic status and a student’s mathematics self-efficacy and the two-
tailed significance test: p-value of .000. This is well below the conventional 0.05
threshold, and therefore, we can reject the null hypothesis that there is a relationship
between socio-economic status and a student’s mathematics self-efficacy. The Pearson
correlation is significant at .124, showing no relationship (Laureate Education, 2016b).

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Testing for Correlation and Bivariate Regression Belkys Stallings January 18, 2020 RSCH 8210/7210/6210: Quantitative Reasoning and Analysis Walden University Testing for Correlation and Bivariate Regression For this assignment, we examine correlation and bivariate regression testing. Using the SPSS High School Longitudinal Study dataset, we evaluate if the correlation and bivariate regression assumptions are met and report the effect size and will display the data for the output. Then we will explain the implications of social change. The variables I decided to use for this analysis are the T1 Socio-economic status composite and the T2 Scale of student’s mathematics self-efficacy. Research Question Is there a significant relationship between socio-economic status and a student’s mathematics self-efficacy? Results Using bivariate correlation analysis, we found a correlation coefficient of 0.124 between the socio-economic status and a student’s mathematics self-efficacy and the twotailed significance test: p-value of .000. This is well below the conventional 0.05 threshold, and therefore, we can reject the null hypothesis that there is a relationship between socio-economic status and a student’s mathematics self-efficacy. The Pearson correlation is significant at .124, showing no relationship (Laureate Education, 2016b). 2 Using bivariate regression analysis, we found the large R, or multiple R, is .152a, and the R Square is .023 and shows that 2% of the respondent ...
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