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Observations are taken on net revenue from sales of Hughes, HNS, and satellite services to see if offering rebates is beneficial for the organization. Dealers don't get rebates, but customers get a $100 mail in rebate and to keep customers when they call into Hughes to cancel the services, HNS will offer another $50 credit to the account. The regression model is Y = net revenue, X1 = shipping cost (dollars per unit), X2 = purchase pole mounts, X3 = dealers cost per equipment including dish, radio, and modem, X4 = Ads, X5 = installation. Regression: Y = X1 + X2 + X3 + X4 + X5...
Predictor Coefficient
Shipping Cost 60.00Pole Mounts 65.00Equipment 200.00Ads 40.00Rebate 100.00
Perform a regression analysis on the data using MS Excel.
In random samples of 12 from each of two normal populations, we found the following statistics: Describe what happens when the sample standard deviations get larger.
The sales of the bicycle (in thousands of dollars) and also the levels of media expenditure (in thousands of dollars) during the test month are recorded. State the multiple regression equation.
Twelve doctor's offices were given 3 lab inspections with the following results:
I'm trying to determine what happens to the sample size if the level of confidence is reduced from 95% to 90% but the allowable error and the standard deviation remain
Provide an overview of the problem you identified. What are some research components that could be measured in order to address the research question or hypothesis you identified? How might a researcher obtain that information?
A random variable X has the Pareto (α, θ) distribution (where α > 0, θ > 0) if F_X(x) = 1 - (θ/(θ+x))^α for x ≥ 0. For a fixed d > 0, let Y = X-d | X >d. Calculate F_Y(y) and EY.
A researcher had the idea that background music might enhance performance on a math test and that the effect of music might depend on whether an individual is a music lover or not.
The following data shows the packages gathered for delivery for ten days and the proportion of packages received not delivered to the customers at expected time.
Create a linear model to estimate the number of points students will score on the next exam from the number of hours the student studies.
What is the questionnaire score that separates customers who are considered risk averse from those who are not? Carry your intermediate computations.
A jeweler at Tiffany & Company computes the value of the linear correlation coefficient for pairs of sample data consisting of Tiffany prices for gold wedding rings and the corresponding prices at a discount store.
A partial computer output from a regression analysis as follows. The regression equation is:
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