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A hospital emergency room analyzed n=17,665 hourly observations on its average occupancy rates using six binary predictor variables representing days of the week and two binary predictors representing the 8 hour work shift (12AM-8AM, 8AM-4PM, 4PM-12AM) when the ER census was taken. The fitted regression equation was AvgOccupancy = 11.2+1.19 Mon-.187 Tue-.785 Wed-.580 Thurs - .451 Fri - .267 Sat - 4.58 Shift1-1.65 Shift2 (R^2 = .094, R^2 Adj = .093)
1. Why did the analyst use only six binaries for days when there are 7 days in a week?
2. Why did the analyst use only two binaries for work shifts when there are actually 3?
3. Which day of the week is the busiest?
4. Which shift is the busiest?
5. Interpret the intercept term.
6. Asses the regression's fit.
where the deviations εi are assumed to be independent and Normally distributed with mean 0 and standard deviation σ. This model was fit to the data using the method of least squares. The following results were obtained from statistical software.
the distribution of the annual incomes of a group of middle management employees approximated a normal distribution
Suppose that the insurance company developed a new payment system in an effort to increase this percentage. A sample of 200 claims processed under this system revealed.
HR Consulting surveyed a random sample of 74 Twin Cities construction companies to find information on the costs of their health care plans. One of the items being tracked is the annual deductible that employees must pay.
The overhead reach distances of adult females are normally distributed with a mean of 202.5 cm and a standard deviation of 8.6cm.a. Find the probability that an individual distance is greater than 212.50cm.
how would you characterize the largest 5 of all concentration values. in other wods at what level of concentration cu
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Module 4 Project: Correlated Data Analysis HSC-731, spring 2016. Describe what the missing data patterns for dep1 to dep6. What is a benefit of random effects models compared to repeated measures ANOVA or MANOVA for analyses with missing data
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At 95% level of confidence, can we conclude that the babies using the Gibbs product gained less weight?
Calculate the appropriate test statistic to test the hypotheses related to the concern and test at 5% and 1% (indicate which test you are performing; show the hypotheses, the test statistic and the critical values and mention whether one-tailed or..
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