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Linear
Linear scatter plot and residual plot shows no curvature
Independent
less than 1/10
Normal
residual dot plot shows no strong skew or outlier
Equal SD
no obvious heteroskedastic trend in the residual plot
Random
Random selection
B
the true slope of the population LSRL for x and y
a
When the (explanatory variable) is zero (units), our model predicts that the (response variable) would be (y-intercept)
b
for every 1 (unit) increase in (explanatory variable), our model predicts an average increase/decrease of (slope) in (response variable)
s
When using the LSRL with (explanatory variable) to predict (response variable), we will typically be off by (value of s with units of response variable y)
SEb
the slope of the sample LSRL typically varies from the slope of the population LSRL by about x units