A small Internet company wants to determine how the money they spend on Google Adwords impacts their monthly revenue. Over 6 consecutive months, they vary the amount they spend on their Adwords campaign (in $) and record the associated revenue (in $) for each month. The data is shown below. Adwords Revenue 50 439 75 501 100 514 125 585 150 440 175 589
1)Develop a regression equation for predicting monthly revenue based on the amount spent with Adwords. What is the y-intercept? Give your answer to two decimal places.
2)What is the sample correlation between these two variables? Give your answer to two decimal places.
3)What is the slope of your regression equation? Give your answer to two decimal places.
Use the following data to answer questions. Show all work. x 0, – 2, 1, 1, 2 y 2, – 2, 5, 4, 8 Find an equation of the least squares regression line. Find the predicted value when x = 1. Is there a correlation between x and y at the 0.01 significance level? Justify your answer
The production manager has asked you to purchase a replacement numerically controlled (NC) plasma-cutting machine for the metal fabrication shop. She has provided you with the manufacturer’s number and model number for two models and indicates that the performance of either machine is perfectly acceptable. The existing tooling and fixtures will also work with either machine. Footprint and utility requirements are nearly the same as the old machine and will not require changes to the facility.
The equipment will be depreciated over a ten-year period, which is also the expected service life. An annual service contract is required after the expiration of the warranty and throughout the remaining service life. You will take advantage of a 2% discount offered by each supplier for paying cash. You decide to complete a total cost of ownership (TCO) analysis to help make the purchasing decision.
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