Transcription of CHAPTER 8 Correlation and Regression— Pearson and …
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CHAPTER 8 Correlation and Regression— Pearson and …
181 CHAPTER 8 Correlation and Regression Pearson and SpearmanCorrelation and regression show the relationship between continuous who laughs most, learns best. John CleeseLEARNING OBJECTIVESUpon completing this CHAPTER , you will be able to:zzDetermine when it is appropriate to run Pearson regression and spearman Correlation analyseszzInterpret the direction and strength of a correlationzzVerify that the data meet the criteria for running regression and Correlation analyses: normality, linearity, and homoscedasticityzzOrder a regression analysis: Correlation and scatterplot with regression linezzInterpret the test resultszzResolve the hypotheseszzDocument the results in plain EnglishzzUnderstand the criteria for causation: association/ Correlation , temporality, and nonspuriouszzDifferentiate between Correlation and causationCopyright 2017 by SAGE Publications, Inc.
the Spearman test has some other uses, which are explained near the end of this chapter. EXAMPLE 1—PEARSON REGRESSION An instructor wants to determine if there is a relationship between how long a student spends taking a final exam (2 hours are allotted) and his or her grade on the exam (students are free to depart upon completion).
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