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10 cards from this deck
Modelling relationship between two numerical vars with a line
aaa = y-intercept; bbb = slope
Vertical distance between data point and regression line
Sum of squares of all residuals
Without squaring, residuals sum to zero
Numerical data, linear association, no clear outliers
b=rsysxb = \frac{rs_y}{s_x}b=sxrsy
a=yˉ−bxˉa = \bar{y} - b\bar{x}a=yˉ−bxˉ
Variable we want to predict (y)
r=bsxsyr = \frac{bs_x}{s_y}r=sybsx
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