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In a random sample of eight military contracts involving cost overruns, the following information was obtained. x = bid price of the contract (in millions of dollars) and y = cost of overrun (expressed as a percent of the bid price).
X 6 40 3 5 9 18 16 21
Y 31 25 39 35 29 12 17 8
a. Find the slope, b, and the intercept, a, for the least squares line. Write the equation of the least squares line.
b. Find , the correlation coefficient, r.
c. If an overrun contract was bid at 12 million dollars, what does the least squares line predict for the cost overrun (as a percent of bid price)?
Describe some ways in which the test groups might not be representative of the population of people with arthritis. If the company itself paid for or conducted its own research, would you have any concerns? Why or why not?
a simple system consists of four components placed in parallel. each component has the same reliabity r. if we want the
Find the area under the standard normal curve to the right of z = 1.55. Round to four decimal places. Find the area under the standard normal curve to the left of z = 2.33.
A CNN/Time poll conducted in the United States October 23-24, 2002, asked, "Do you favor or oppose the legalization of marijuana?"
Suppose now that your company has decided to value each hit at 1 cent. You are being offered a contract for an initial ten weeks of advertising space at $2,000 per week. Using your regression model, can you prove that buying the advertising would ..
In fitting the simple linear regression model Yi ~ N (α + β xi, σ 2 ) to the following data:
If samples of size 16 are drawn from the population of women's weights, what percentage of the sample means lie between 120 and 160 lb?
Another sample of candies was opened and recorded. The sample size was 20. Below is the summary of the sample.
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(The Poisson distribution can be used to approximate the binomial distribution when n is large and p is small-say, p less than 0.1.
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For good results, you probably need to work with 20 or more securities. Try to include in your model realistic-type sector, industry, and upper bound constraints, but don't make them too tight.
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