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Stats Medic AP Review Unit 2 MCQ with 100- correct answers already graded A+.d
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Stats Medic AP Review Unit 2 MCQ with 100- correct answers already graded A+.d
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Stats Medic AP Review: Unit 2MCQ with 100% correct answers
already graded A+
Which of the following relationships between two
variables could be described using correlation, r?
—————————
(A) Number of books read and gender of a student.
(B) Number of football games played and the position of a
football player.
(C) High temperature of the day and number of zoo
visitors that day.
(D) Type of beverage ordered and time of day it was
ordered.
(E) Brand of cell phone and number of cell phones sold.
——————————
(C) High temperature of the day and number of zoo
visitors that day.
A scatterplot shows a strong, positive, linear relationship
between the number of rebounds a basketball team
averages and the number of wins that team records in a
season. Which conclusion is most appropriate?
——————————
(A) A team that increases its number of rebounds causes
its chances of winning more games to increase.
(B) If the residual plot shows no pattern, then it is safe to
conclude that getting more rebounds causes more wins,
on average.
, (C) If the residual plot shows no pattern, then it is safe to
conclude that getting more wins causes more rebounds,
on average.
(D) If the r² value is close enough to 100%, then it is safe
to conclude that getting more rebounds causes more wins,
on average.
(E) Rebounds and wins are positively correlated, but we
cannot conclude that getting more rebounds causes more
wins, on average.
——————————
(E) Rebounds and wins are positively correlated, but we
cannot conclude that getting more rebounds causes more
wins, on average.
Two variables, x and y, have a correlation of 0.75.
If x has a mean of 25 and a standard deviation of 3, and y
has a mean of 12 and a standard deviation of 6, which of
the following is the least-squares regression line for the
two variables?
——————————
(A) y = -25.5 + 1.5x
(B) y = 12 + 1.5x
(C) y = 12 + 0.75x
(D) y = 16 +0.75x
(E) Not enough information
——————————
(A) y = -25.5 + 1.5x
Data are collected on the amount of fat (in grams) and
calories in the French fry orders at nine fast food
restaurants. The least-squares regression line for the data
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