Correlation Ð statistical technique that
describes degree of relationship between 2 variables
Regression Ð technique that uses data to write
an equation for a straight line.
The equation then is used to make some type of prediction
of the data.
Draw a line of best fit (straight line)
Make prediction of 2nd score when 1st score is
Linear regression - from the phenomenon of
regression toward the mean, a consequence of the laws of probability when
correlation is less than perfect (as correlation gets lower, prediction
gets closer to z = 0).
Regression Equation Formula Ð finds the line of
Least squares method (LSM)ÐPearsonÕs mathematics
to create a straight line. LSM produces a value for the slope and the
intercept. With slope and intercept Ð write an equation for a straight line
(this is one that best fits your data)
Ŷ = a + bX
Ŷ = predicted value of Y from X
a = point where line intersects Y axis a, b =