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1. Consider the following sample data:
x
12
23
11
14
21
18
16
y
28
43
40
33
41
37
32
1. Determine whether a linear regression model is appropriate.
2. Calculate b1 and b0. What is the sample regression equation?
3. Find the predicted value of y if x is 10, 15, and 20.
a previous study indicates that the percentage of chain smokers p who have lung cancer follows a beta distribution with
Several complaints recently have been sent to the Gotham City police department regarding the increasing incidence of congestion on the city's streets.
In a survey of 500 individuals, it was found that 155 of the 500 rented at least one video from a video rental store during the past week. Test the hypothesis that 25% of the population rented at least one video during the past week using a two-ta..
a sales manager collected the following data on annual sales and years of experience. sales
Create a dummy variable based on the variable gender. The dummy should equal 1 for male children and 0 otherwise. Name this variable gender dum.
Explain in managerial terms what is meant by "use an alpha level = .05." Do you agree with her suggestion? If so, explain why. If not, explain why and indicate the alpha level you would use instead.
Compactness can be characterized in terms of convergent subnets (e.g. Kelley, 1955, Theorem 5.2), but only for nonstrict subnets; see also Kelley (1955, p. 70 and Problem 2.E).
a firm is accustomed to training operators who do certain tasks on a production line. those operators who attend the
1 what was the mean quantity ordered?a. 48.0 b. 52.7 c. 10 d. 74.52 what percentage of orders is for quantity
The university police department must write, on average, five tickets per day to keep department revenues at budgeted levels. Suppose the number of tickets written per day follows Poisson distribution with a mean of 9 tickets per day.
On average, C&C wash-down motors operate for 15,000 hours with a standard deviation of 1,250 hours before failing. The number of operating hours before failure is approximately normally distributed.
Your company bids for two contracts. You believe the probability that you get contract #1 is 0.8. If you get contract #1, the probability that you also get con- tract #2 will be 0.2, and if you do not get contract #1, the probability that you get ..
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