IT OUT!

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IT OUT!
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Directions

• Students get into pairs, decide A and B
• Each pair gets a whiteboard and 2 markers
• For each question,one part of the partner writes
  the answer on the whiteboard solo.
• When finished, the other partner CHECKS the work
• When pair agrees, hold up the board.
• One point per correct answer

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Question 1- Partner A

• If the LSRL for days after shaving on beard
  growth in (mm) is
• Interpret the y-intercept.

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Question 2- Partner B

• If the LSRL for days after shaving on beard
  growth in (mm) is
• Interpret the slope.

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3(A) If 70 of the variation of a persons
income can be explained by the change in their
age, what is the correlation?

• A) .49
• B) .70
• C) .83
• D) .92
• E) .99

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4(B) Which of the following are resistant to
outliers?

• A) LSRL
• B) Correlation
• C) Coefficient of Determination
• D) Slope
• E) None of the above

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5(A)Which of the following does not contain an
error?

• A) The correlation between age and height is
  1.18
• B) The correlation between gender and age is
  .87
• C) If the correlation between two variables is
• -0.98, there is a weak correlation
• D) Removing an outlier will always change the
  correlation
• E) If the correlation between x and y is 0.78,
  then the correlation between y and x is also 0.78

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6(B)If the correlation between length of hair
and time in takes to wash hair is 0.85, what
percent of the variation in time it takes to wash
hair can be explained by the linear relationship
of time and length of hair?

• A) 40
• B) 42.5
• C) 72
• D) 85
• E) 92

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7(A) If r -0.8 for the LSRL of time in takes
to get to Los Angeles from San Diego on speed,
interpret the coefficient of determination
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8(B) If r -0.8 for the LSRL of time in takes
to get to Los Angeles from San Diego on speed,
interpret the correlation
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9(A) Using the table below, find the LSRL of
cholesterol on fat intake
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10(B) Using the table below, find the
correlation of cholesterol on fat intake (grams)
s 4.768 R-sq 86.2 R-sq(adj)
81.1
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Question 11(A)
A random sample of students was asked a series of
questions to see if study habits can predict GPA.
The mean amount of study time per night was 105
minutes with a standard deviation of 22.4
minutes. The mean GPA was 3.46 with a standard
deviation of 1.15. If the correlation between
study time and GPA is .75, find the LSRL of GPA
on Study time.
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Question 12(B)
A random sample of pro golfers was asked
questions to see if practice time can predict
golf scores. The mean amount of practice time
was 12 hours per week with a standard deviation
of 2.5 hours. The mean golf score (on 18 holes)
was 72.54 with a standard deviation of 4.22. If
the correlation between practice time and golf
score is -.45, find the LSRL of golf score on
practice time.