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slope
for every 1 unit increase in x, the predicted y will increase/decrease by b
y-int
with no x, the y would increase/decrease by
s
when using the least squares regression line where x= and y=, we will typically be off by s units
SE
if we repeated this experiment many times, the sample slope will typically vary about SE from the true slope of the line
r²
about r² % of the variation in y will be accounted for by the linear model relating x to y