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Stats Ch 5+6
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Terms in this set (10)
Use of scatterplots
Displaying, recognizing, comparing trends in two quantitative variables
Important features of scatterplots, and explanation
Direction - Positive vs. Negative
Form - Shape (positively linear, curved, etc.)
Scatter - Less scatter, more scatter, moderate strength in association, etc.
Explanatory variable
x - axis, explains response in y
Response variable
y - axis, reacts to x
Association
Positive or negative (are the two variables associated?)
Correlation
How strong linear association is
Between -1 and 1
Correlation Conditions
1. quantitative variables
2. linear enough
3. no outliers
Conditions to make a linear model
1. quantitative variables
2. linear enough
3. no outliers
what does a boring residual plot mean
line of best fit will fit pretty well
what does a patterned residual plot mean
line of best fit doesnt work well
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