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1) For set of data, total variation or sum of squares for y is SST = 143.0, and error sum of squares is SSE = 24.0. What proportion of variation in y is described by the regression equation?
2) In a regression analysis, the sum of the squared deviations between y and y is SST = 200.0. If the sum of the squared deviations about the regression line is SSE = 40.0, what is the coefficient of determination?
3) For leading health maintenance organization (HMO) firms, lists number of persons enrolled in HMO along with number of plans the firm administers. Given these data, find out least-squares equation for predicting total enrolment as a function of number of plans administered. What would be estimated total enrolment for HMO firm that administered 20 plans?
Determine the probability of exactly one success given Poisson distribution with mean of 2.0.
If we fit the least-squares line to the 12 data points (one for each month) we obtain the following results from a software package. Notice that temperature is taken as the explanatory variable and crawling age as the response.
Find a 98% confidence interval for the mean number of days required for successful completion of physical therapy for patients in the average group. Discuss the results.
Find the probability of getting a head and rolling a six
If you did not know anything about standard deviation of population from which sample was taken, find out the 95% confidence interval for mean test score.
What is the probability she received 5 or more email during the same period?
Key Refining decided to send a special financing plan to charge account customers having the highest 10 percent of the money charges. What is the dividing point between customers who receive the special plan and those who do not.
Give an example of a hypothesis test. State what the Null and the Alternative hypotheses.
Below are one hundred pseudorandom numbers from a uniform pdf. Set up and test the appropriate goodness-of-fit hypothesis. Let α = 0.05.
Calculate probability that the sample would have a mean:
At the .01 level of signiicance, is the true mean greater than 10?
Suppose the assembly times follow normal distribution. Find out z values for 29 and 34 hours. What percent of garages take between 32 hours and 34 hours to erect?
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