As part of a manufacturing process, a plastic container is supposed to be filled with 46 centilitres of saltwater solution. The plant has three machines that fi ll the containers. Managers are concerned that the machines might not be filling the containers with the same amount of saltwater solution, so they set up a randomized block design to test this concern. A pool of five machine operators operates each of the three machines at diff erent times. Company technicians randomly select five containers filled by each machine (one container for each of the five operators). The measurements are gathered and analysed. The Minitab output from this analysis follows. What was the structure of the design? How many blocks were there? How many treatment classifications? Is there a statistical difference in the treatment means? Are the blocking effects significant? Discuss the implications of the output.

Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the shown in the following table 4 3 6 7 9 5 4 66 5 11 7 Maroon 5 TV Appearances Demand for Guitars This exercise contains only parts b, c, and a b) Using the tas-squares regression method, the equation for forecasting around your responses to four decimal placea) Y-2.1286 +0.7714 X c) The estimate for guitar salos Maroon 5 performed on TV 10 times – P.84 sales (round your response to two decimal places). d] The correlation coefficient in for this model around your response to four decimal places)