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AllisonHope3 AllisonHope3
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Posts: 511
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6 years ago
Suppose an algebra professor found that the correlation between study time (in hours) and exam score (out of 100) is +.80, and the regression line was found to be y = 20 + 4x. He arrived at this equation through years of collecting data on his students, most of whom reported studying anywhere from 0 to 20 hours for his exams. For which values of study time does the professor's regression equation make sense in terms of predicting exam scores?
 a. Between 0 and 20 hours.
  b. Between 0 and 100 hours.
  c. Anything greater than or equal to 0 hours.
  d. It is not possible to predict exam score with study time.

Q. 2

Suppose an algebra professor found that the correlation between study time (in hours) and exam score (out of 100) is +.80, and the regression line was found to be y = 20 + 4x. He arrived at this equation through years of collecting data on his students, most of whom reported studying anywhere from 0 to 20 hours for his exams. In order to get a 100 on this exam, how long should students expect to study (minimum)?

Q. 3

Suppose an algebra professor found that the correlation between study time (in hours) and exam score (out of 100) is +.80, and the regression line was found to be y = 20 + 4x. He arrived at this equation through years of collecting data on his students, most of whom reported studying anywhere from 0 to 20 hours for his exams. What meaning (if any) does the slope of 4 have in this situation? Use words that a non-statistics student would be able to understand.

Q. 4

Suppose an algebra professor found that the correlation between study time (in hours) and exam score (out of 100) is +.80, and the regression line was found to be y = 20 + 4x. He arrived at this equation through years of collecting data on his students, most of whom reported studying anywhere from 0 to 20 hours for his exams. What meaning (if any) does the y intercept of 20 have in this situation? Use words that a non-statistics student would be able to understand.

Q. 5

Suppose an algebra professor found that the correlation between study time (in hours) and exam score (out of 100) is +.80, and the regression line was found to be y = 20 + 4x. He arrived at this equation through years of collecting data on his students, most of whom reported studying anywhere from 0 to 20 hours for his exams. Which variable is X and which variable is Y in this situation?

Q. 6

If there is no linear relationship between two measurement variables, the correlation is __________.
 Fill in the blank(s) with correct word

Q. 7

The __________ between two measurement variables is an indicator of how closely their values fall to a straight line.
 Fill in the blank(s) with correct word
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SweetMarie1998SweetMarie1998
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6 years ago
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AllisonHope3 Author
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6 years ago
I'm seriously surprised that you found the answers... What's your secret?!
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