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A study describes operating costs for comparable manufacturing plants operating in 15 different U.S. metropolitan areas. From the costs obtained in the study, the following multiple regression equation was developed: = 1.0 + 1.1x1 + 2.8x2 with = total operating cost, x1 = labor cost, and x2 = electric power cost. All costs are in millions of dollars and on an annual basis.Please round your answers to 1 decimal place.a. The partial regression coefficient for the labor cost is .b. For a given electric power cost, the total operating cost will increase by $ if labor costs increase by $1.c. The partial regression coefficient for the electric power cost is .d. For a given labor cost, the total operating cost will increase by $ if electric power costs increase by $1.e. If labor costs $6 million and electric power costs $0.3 million, the estimated annual cost to operate the plant is $ million Required minimum-1 page
Suppose that beer consumption and religious affiliation are not independent of each other. That means that
(a) Find the range. (b) Find the variance. (Give your answer correct to two decimal places.) (c) Find the standard deviation. (Give your answer correct to two decimal places.)
Use Hypothesis testing to determine if the data indicate that there are significant differences among the three therapies? Test at the .05 level of significance.
Set-up/solve the problem graphically. (How many ceiling fans and how many floor fans should be made?)
Use the marginal probabilities of school quality, school cost or convenience, and other to comment on the most important reason for choosing a school.
A recent study by a large retailer designed to determine whether there was a relationship between the importance a store manager placed on advertising and the size of the store revealed the following sample information:
Let X denote number of students which were on bus carrying this arbitarily selected student. One of the 4 bus drivers is also arbitarily selected. Calculate expectations and variances of X.
If 20 voters are selected at random, and X is the number of voters which support this referendum, determine the mean and variance of X.
The following table shows SAT scores (on the old SAT with only two sections) for a sample of students. Give the equation of the least squares regression equation.
Assuming a normal distribution, What is the z-score associated with the second quartile? If we wish to have 95% confidence interval, what would be the value of the confidence coefficient?
Of 260 females, 224 answered yes. Construct a contingency table to evaluate the probabilities. What is the probability that a respondent chosen at random:
A local consultant randomly selects a sample of 36 meals whose mean price is determined to be $8.75. Assuming that σ = $0.75, calculate a 95% confidence interval for the population mean price.
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