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.
ChaPtER 8 Correlation and Regression—Pearson and Spearman 183 prior example, we would expect to find a strong positive correlation between homework hours and grade (e.g., r= +.80); conversely, we would expect to find a strong negative correlation between alcohol consumption and grade (e.g., r = −.80). However, we would
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