How many seizures per week would you predict for a person

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Reference no: EM13215850

Question 1:

A biostatistician finds the relationship between the number of weeks (x) spent in a hospital and number of seizures per week (y) and is described by the following equation: y hat = 14.9-0.91x. This is based on a sample size of 50 patients and the associated coefficient of correlation is, r = -.93.

Using this information answer the following question: How many seizures per week would you predict for a person who has been at the hospital for ten weeks?

a) 24.0

b) 5.8

c) 14.9

d) -.91


Question 2

A biostatistician finds the relationship between the number of weeks (X) spent in a hospital and number of seizures per week (Y) and is described by the following equation: yhat = 14.9 - 0.91x. This is based on a sample size of 50 patients and the associated coefficient of correlation is , r = -.93.

Using this information above, answer the following question: How do you interpret r = -.93?

a) There is a perfect positive relationship between the number of weeks spent in a hospital and the number of seizures recorded.

b) There is a perfect negative relationship between the number of weeks spent in a hospital and the number of seizures recorded.

c) There is a strong negative relationship between the number of weeks spent in a hospital and the number of seizures recorded.

d) There is a strong positive relationship between the number of weeks spent in a hospital and the number of seizures recorded.

Question 3:

The range of the correlation coefficient is?

a) -1 to 0.

b) 0 to 1

c) -1 to 1

d) None of the above

Reference no: EM13215850

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