Two Regression Lines Suffice to Determine r2 and r

dc.contributor.authorSarkar, Jyotirmoy
dc.contributor.authorRashid, Mamunur
dc.contributor.departmentMathematical Sciences, School of Scienceen_US
dc.date.accessioned2023-03-09T19:56:33Z
dc.date.available2023-03-09T19:56:33Z
dc.date.issued2021
dc.description.abstractThe Pearson correlation coefficient can be recovered from the two least-squares regression lines ŷ = b0 + b1x and x = a0 + a1y without any data. This can be done both algebraically and geometrically. This can be done without data even when the scales of the variables are different. The authors conclude with ways to use such information during instruction to help scaffold student understanding, number sense and problem-solving skills.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationSarkar, J., & Rashid, M. (2021). Two Regression Lines Suffice to Determine r2 and r. Educational Research Quarterly, 45(2), 21–30.en_US
dc.identifier.urihttps://hdl.handle.net/1805/31793
dc.language.isoen_USen_US
dc.relation.journalEducational Research Quarterlyen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectscatter ploten_US
dc.subjectstandard deviationsen_US
dc.subjectcoefficient of correlationen_US
dc.subjectcoefficient of determinationen_US
dc.titleTwo Regression Lines Suffice to Determine r2 and ren_US
dc.typeArticleen_US
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