A team of consultants has identified a set of 10 clinical symptoms they believe may help an insurance company predict how long a person will be off work after suffering whiplash injury in a car accident.Each symptom is assessed separately as 0=absent, 1=present. To determine exactly how useful these 10 symptoms are, 200 patients with whiplash injuries were assessed within 7 days of their accident and then followed up until all had returned to work.Which of the following methods is best for analyzing the results from this study. _Multiple linear regression _Single linear regression _Pearson correlation coefficient of total symptom score against time off work. _Spearman correlation coefficient of total symptom score against time off work
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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