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Introduction to Linear Regression

Plug \( X = 4 \) into the equation to find \( Y'= 3(4) - 2 = 10 \)
Plug \( A = 40 \) into the equation to find \( B'= 2.3(40) + 9.5 = 101.5 \)
Predicted value, \( B' = 2.3(32.5) + 9.5 = 84.25 \); Error of prediction = \( B - B' = 95.25 - 84.25 = 11 \)
Plug \( A = 40 \) into the equation to find \( B'= 2.3(40) + 9.5 = 101.5 \)
Someone who scored the mean on \( X \) would be predicted to score the mean on \( Y \).
\( b = r(sY/sX) = .5(1/2) = .25 \)
\( b = 0.9143 \)

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