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This Concept Map, created with IHMC CmapTools, has information related to: Group U6, coefficient Pearson r conditions linear, correlation coefficient can be measured by <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> spearman ( </mtext> <mmultiscripts> <mtext> r </mtext> <mtext> 2 </mtext> <none/> </mmultiscripts> <mtext> ) </mtext> </mrow> </math>, correlation coefficient focuses on direction, Relationship can be interpreted by shape, direction 2 types - inverse, coefficient Pearson r interpreted by z score, variability if it's equation squared <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mmultiscripts> <mtext> r </mtext> <none/> <mtext> 2 </mtext> </mmultiscripts> </mrow> </math>, coefficient Pearson r conditions normal curve, <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mmultiscripts> <mtext> r </mtext> <none/> <mtext> 2 </mtext> </mmultiscripts> </mrow> </math> called coefficient of determination, linear best interpreted by scatter plot, shape 2 types curvelinear, linear equation Y= bX + a, coefficient Pearson r interpreted by variability, linear includes slop, z score equation <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> r= </mtext> <mfrac> <mrow> <mtext> ∑ </mtext> <mmultiscripts> <mrow> <mmultiscripts> <mmultiscripts> <mtext> z </mtext> <none/> <mtext> </mtext> </mmultiscripts> <none/> <mtext> </mtext> </mmultiscripts> <mtext> xzy </mtext> </mrow> <mtext> </mtext> <none/> </mmultiscripts> </mrow> <mtext> N-1 </mtext> </mfrac> </mrow> </math>, magnitude can be perfect, correlation coefficient can be measured by <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> biserial </mtext> <mmultiscripts> <mtext> r </mtext> <none/> <mtext> b </mtext> </mmultiscripts> </mrow> </math>, Variables can be described two variabales together, perfect if all point fall on the line, coefficient Pearson r conditions random assign. sample