Testing for Correlation & Bivariate Regression
Walden University
RSCH 8210: Quantitative Reasoning and Analysis
14:08:12 GMT -05:00
Walden University
RSCH 8210: Quantitative Reasoning and Analysis
14:08:12 GMT -05:00
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Wk8AssignTedrowW.docx Testing for Correlation & Bivariate Regression Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:08:12 GMT -05:00 Testing for Correlation & Bivariate Regression Self-efficacy is critical for teachers to provide effective instruction. How does the number of years a math teacher has taught predict the instructor's degree of self-efficacy? The High School Long Survey data set, with a mean X1SES of .0549, will be used to answer this research question. Self-efficacy acts as the dependent variable, and years of teaching acts as the dependent variable. A bivariate regression is used to predict the impact of the independent variable on the dependent variable. A Pearsons correlation that describes the statistical association between two variables (Frankfort-Nachmias et al., 2021) will be used to assess the magnitude of the association between self-efficacy and years of
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Escuela, estudio y materia
- Institución
- Western Governors University
- C159: POLI WGU 159
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- Subido en
- 18 de abril de 2022
- Número de páginas
- 4
- Escrito en
- 2021/2022
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- Resumen
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wk8assigntedrowwdocx testing for correlation amp bivariate regression walden university rsch 8210 quantitative reasoning and analysis 140812 gmt 0500 testing for correlation amp biva
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