Formula for coefficient of correlation is the following:
"r=\\frac{cov(x,y)}{\\sigma_{x}\\times \\sigma_{x}\\times\\sigma_{y}\\times\\sigma_{y}}"
In the regression equation, which is the equation of the type
"y=a+bx" , coefficient "b" has the following meaning:
"b=\\frac{cov(x,y)}{\\sigma_{x}\\times\\sigma_{x}}"
Therefore, coefficient of correlation can be written:
"r=\\frac{b}{\\sigma_{y}\\times\\sigma_{y}}"
Coefficient b of our regression equation is
"\\frac{1}{0.3}=3.33"
"r=\\frac{3.33}{16}=0.208"
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