Lesson 2.3 Checkpoint

In the following relationship, is r > 0 or r < 0? Closer to r = 0 or r = ± 1? Explain your reasoning. (LT 2.3.1 #1)

• Because the relationship is positive, r >0. Also, r is closer to 0 because the relationship is weak.

• Because the relationship is positive, r >0. Also, r is closer to 1 because the relationship is strong.

• Because the relationship is negative, r < 0. Also, r is closer to 0 because the relationship is weak.

• Because the relationship is negative, r <0. Also, r is closer to -1 because the relationship is strong.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

In the following relationship, is r > 0 or r < 0? Closer to r = 0 or r = ± 1? Explain your reasoning. (LT 2.3.1 #2)

• Because the relationship is positive, r >0. Also, r is closer to 0 because the relationship is weak.

• Because the relationship is positive, r >0. Also, r is closer to 1 because the relationship is strong.

• Because the relationship is negative, r < 0. Also, r is closer to 0 because the relationship is weak.

• Because the relationship is negative, r <0. Also, r is closer to -1 because the relationship is strong.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

In the following relationship, is r > 0 or r < 0? Closer to r = 0 or r = ± 1? Explain your reasoning. (LT 2.3.1 #3)

• Because the relationship is positive, r >0. Also, r is closer to 0 because the relationship is weak.

• Because the relationship is positive, r >0. Also, r is closer to 1 because the relationship is strong.

• Because the relationship is negative, r < 0. Also, r is closer to 0 because the relationship is weak.

• Because the relationship is negative, r <0. Also, r is closer to -1 because the relationship is strong.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

In the following relationship, is r > 0 or r < 0? Closer to r = 0 or r = ± 1? Explain your reasoning. (LT 2.3.1 #4)

• Because the relationship is positive, r >0. Also, r is closer to 0 because the relationship is weak.

• Because the relationship is positive, r >0. Also, r is closer to 1 because the relationship is strong.

• Because the relationship is negative, r < 0. Also, r is closer to 0 because the relationship is weak.

• Because the relationship is negative, r <0. Also, r is closer to -1 because the relationship is strong.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

There is a linear relationship between the number of turnovers and the number of points scored for players in the 2013–2014 NBA season. The correlation for these data is r = 0.92. Interpret this value. (LT 2.3.2 #1)

• The correlation of 0.92 indicates that the linear relationship between turnovers and the number of points scored for players in the 2013-2014 NBA season is strong and positive.

• The correlation of 0.92 indicates that the nonlinear relationship between turnovers and the number of points scored for players in the 2013-2014 NBA season is strong and negative.

• The correlation of 0.92 indicates that the linear relationship between turnovers and the number of points scored for players in the 2013-2014 NBA season is weak and negative.

• The correlation of 0.92 indicates that the linear relationship between turnovers and the number of points scored for players in the 2013-2014 NBA season is weak and positive.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Infants who cry easily may be more easily stimulated than others. This may be a sign of higher IQ. Child development researchers explored the relationship between the crying of infants 4 to 10 days old and their IQ test scores at age 3. A snap of a rubber band on the sole of the foot caused the infants to cry. The researchers recorded the crying and measured its intensity by the number of peaks in the most active 20 seconds. The relationship between these variables is linear, with a correlation of r = 0.45. Interpret this value. (LT 2.3.2 #2)

• The correlation of 0.45 indicates that the linear relationship between the number of crying peaks and IQ test scores at age 3 is strong and positive.

• The correlation of 0.45 indicates that the linear relationship between the number of crying peaks and IQ test scores at age 3 is moderate and positive.

• The correlation of 0.45 indicates that the nonlinear relationship between the number of crying peaks and IQ test scores at age 3 is strong and negative.

• The correlation of 0.45 indicates that the linear relationship between the number of crying peaks and IQ test scores at age 3 is moderate and negative.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

There is a linear relationship between the number of turnovers and the number of points scored for players in the 2013–2014 NBA season. The correlation for these data is r = 0.92. Does the fact that r = 0.92 suggest that an increase in turnovers will cause NBA players to score more points? Explain. (LT 2.3.3 #1)

• Probably not. Although there is a strong, positive correlation, an increase in turnovers is not likely to cause an increase in points for NBA players. It is likely that both of these variables are changing due to several other variables.

• Probably. There is a strong, positive correlation, an increase in turnovers is likely to cause an increase in points for NBA players.

• Probably. There is a weak, positive correlation, an increase in turnovers is likely to cause an increase in points for NBA players.

• Probably not. There is a weak, positive correlation, an increase in turnovers is not likely to cause an increase in points for NBA players. It is likely that both of these variables are changing due to several other variables.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Infants who cry easily may be more easily stimulated than others. This may be a sign of higher IQ. Child development researchers explored the relationship between the crying of infants 4 to 10 days old and their IQ test scores at age 3. A snap of a rubber band on the sole of the foot caused the infants to cry. The researchers recorded the crying and measured its intensity by the number of peaks in the most active 20 seconds. The relationship between these variables is linear, with a correlation of r = 0.45. Does the fact that r = 0.45 suggest that making an infant cry will increase his or her IQ later in life? Explain. (LT 2.3.3 #2)

• Probably not. Although there is a somewhat weak, positive correlation, an increase in the number of times an infant cries is not likely to cause higher IQ scores later in life. It is likely that both of these variables are changing due to several other variables.

• Probably. Although there is a somewhat weak, positive correlation, an increase in the number of times an infant cries is likely to cause higher IQ scores later in life.

• Probably not. Although there is a strong, positive correlation, an increase in the number of times an infant cries is not likely to cause higher IQ scores later in life. It is likely that both of these variables are changing due to several other variables.

• Probably. Although there is a strong, positive correlation, an increase in the number of times an infant cries is likely to cause higher IQ scores later in life.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9