Correlation: relationship between two dependent variables
Correlation coefficient -1 <= r <= +1
perfect correlation r=1.0 or r= -1.0
Linear Regression y = mx + b
x axis is predictor variable
y axis is the variable being predicted
y = mx^2 + b
relationship between many predictor variables and one variable being predicted
y = a + w1*x1 + w2*x2 .....
judgmental weighting vs statistical weighting
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