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