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Question: The Gilmore Accounting firm previously mentioned, in an effort to explain variation in client profitability, collected the data found in the file called Gilmore, where: y = Net profit earned from the client x1 = Number of hours spent working with the client x2 = Type of client: 1, if manufacturing 2, if service 3, if governmental Gilmore has asked if it needs the client type in addition to the number of hours spent working with the client to predict the net profit earned from the client. You are asked to provide this information.
a. Fit a model to the data that incorporates the number of hours spent working with the client and the type of client as independent variables.
b. Fit a second-order model to the data, again using dummy variables for client type. Does this model provide a better fit than that found in part a? Which model would you recommend be used?
Let (S, d) be a metric space, E ⊂ S, and f a complex-valued Lipschitz function defined on E , with | f (x ) - f (y)| ≤ Kd(x, y) for all x and y in E . Show that f can be extended to all of S with | f (u) - f (v)|≤ 21/2 Kd(u, v) for all u and v in..
question following are the scores on a teacher certification test administered prior to hiring x and the principals
a. Find the probability that he failed MA or AJ b. If he failed AJ, find the probability that he also failed MA.
A student commented, "Once a poll has been taken, P^ (the sample proportion with a certain opinion) is a known value, so it cannot have a distribution of possible values.- Write an explanation for this student.
A political analyst was interested in the proportion C of individuals who would vote for a controversial ballot measure. While he thought that it would be a close call, he was un sure of the precise value for C. He assessed a beta distribution for..
alice and bob plan to arrive independently at a certain restaurant between 1200 and 100. suppose that the arrival times
a chemist who has prepared a product designed to kill a particular type of insect wants to evaluate the kill rate of
?(a) What is the probability of randomly selecting 1 woman with a height less than 66? inches?
listed below in order by row are the annual high values of the dow jones industrial average for each year beginning
Evaluates similarities and differences among authors and provides insights on the importance of the comparisons.
Directions: After you complete the readings, complete this assignment. Answer the questions with a minimum of one paragraph per question, using complete sentences. List all references that you use.
Find the least-squares regression line for predicting yield from planting rate and add this line to your plot. Choose the correct equation for the least-sqruares regression line.
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