Free Online Flashcard Deck

7 Correlation and Regression Free Online FlashCards

Study 7 Correlation and Regression with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What does Pearson’s correlation coefficient measure?

Back

Pearson’s correlation coefficient, written rr, summarizes the direction and strength of a linear relationship between two quantitative variables.

02
Front

What pattern does a positive correlation describe?

Back

A positive correlation means larger values of one variable tend to occur with larger values of the other.

03
Front

What does a correlation near zero indicate—and what might it miss?

Back

A correlation near zero indicates little linear association, but a curved relationship may still exist.

04
Front

What are two important properties of correlation?

Back

Correlation has no units, and unusual observations can strongly affect its value.

05
Front

Does correlation alone establish causation?

Back

No. Correlation describes association, not cause and effect; a third factor may influence both variables.

06
Front

What equation represents a simple linear regression model?

Back

Simple linear regression models the average response with a straight line: y^=b0+b1x\widehat{y}=b_0+b_1x.

07
Front

How should you interpret a regression slope?

Back

The slope b1b_1 estimates the change in predicted response for a one-unit increase in xx, within the data’s context and range.

08
Front

When is a regression intercept practically meaningful?

Back

The intercept b0b_0 is the predicted response when x=0x=0; it is meaningful only if zero is plausible and represented by the data.

09
Front

What does the least-squares method minimize?

Back

Least squares chooses the line that minimizes the sum of squared residuals; each residual is observed minus predicted.

10
Front

What does R2R^2 describe?

Back

R2R^2 is the proportion of response variation accounted for by the fitted model in the data used to fit it.

11
Front

Does R2=0.72R^2=0.72 mean predictions are 72% accurate?

Back

No. R2=0.72R^2=0.72 means the model accounts for 72% of observed response variation around its sample mean, not that predictions are 72% accurate.

12
Front

What residual-plot pattern supports a straight-line model?

Back

A suitable straight-line model generally has residuals scattered around zero without a systematic curve or changing spread.