Bivariate correlation

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  • After studying this chapter you will be able to: comprehend the nature of correlation analysis, understand bivariate regression analysis, become aware of the coefficient of determination, R2. Inviting you to refer.

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  • Parametric correlation requires two continuous variables measured on an interval or ratio scale. The coefficient does not distinguish between independent and dependent variables

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  • In the first edition of this book, I claimed that humanity could be divided into three groups: (1) those who conduct their own research studies, (2) those who do not formally engage in the research process but nonetheless encounter the results of others’ investigations, and (3) those who are neither “makers” nor “consumers” of research claims. Now, nearly 40 years since I made that statement, I still believe that every person on the face of the Earth can be classified into one of those three groups.

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  • C H A P T E R 7 Two-way traffic – summarizing and representing relationships between two variables Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ explore links between quantitative variables using bivariate analysis measure association between quantitative variables using Pearson’s product moment correlation coefficient and the coefficient of determination quantify association in ordinal data using Spearman’s rank correlation coefficient represent the connection between two quantitative variables using simple linear regression analysis use the technology...

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