AP Statistics Unit II Review

• The correlation between a football player's weight and the position he plays is 0.54.
• The correlation between the amount of fertilizer used and the yield of beans is 0.42
• The correlation between a car's length and it's fuel efficiency is 0.71 mpg.
• There is a high correlation of 1.09 between height of a corn stalk and its age in weeks.

Tags

CCSS.HSS.ID.C.9

• possible models not explored by the researcher.
• variation in the data that is explained by the model.
• the difference between the observed responses and the predicted responses.
• none of these.

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CCSS.HSS.ID.B.6B

• I Only
• I and II
• I and III
• II and III

• none
• I
• II
• I, II, and III

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CCSS.HSS.ID.C.9

• linear
• exponential
• logarithmic
• quadratic

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CCSS.HSF.LE.A.1

CCSS.HSF.LE.A.2

• linear
• exponential
• logarithmic
• quadratic

Tags

CCSS.HSF.LE.A.1

CCSS.HSF.LE.A.2

CCSS.HSF.LE.A.3

• the scatterplot of Y vs X also shows a linear pattern.
• the residuals plot for regression of Y on X shows a curved pattern.
• large values of X are associated with large values of Y.
• accurate predictions can be made for Y even if extrapolation is involved.

Tags

CCSS.8.SP.A.2

• 19 feet
• 93 inches
• 93 feet
• 83 feet

• leverage.
• a lurking variable.
• extrapolation.
• an outlier.

Tags

CCSS.HSS.ID.C.9

• both will increase.
• both will decrease.
• b will increase, and r will decrease.
• b will decrease, and r will increase.

Tags

CCSS.8.SP.A.1