Suppose that you work at a local food manufacturer and are given the task of investigating your company's seasonal sales patterns over the past 10 years (2011 to 2020). After adjusting your sales values for inflation, you calculate the following seasonal sales averages (in millions): Spring: 39 Summer: 46 Fall: 32 Winter: 23 Use this information to seasonally adjust your 2021 Winter sales total of 29 million. Round your answer to two decimal points

In the given problem, what other probability distributions might accurately describe Oakdale’s weekly usage of glue?

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Sales over the past 10 years are shown below. Using the method of least squares, calculate the values of a and b to complete this regression equation.   Year Sales 1 1,640 2 1,850 3 1,240 4 1,250 5 1,980 6 1,400 7 1,060 8 1,430 9 1,050 10 1,990   (Indicate a negative answer using a "-" sign. Do not round intermediate calculations and round your answer to 3 decimal places.)       What is your forecast for next year's sales? (Do not round intermediate calculations and round your answer to 2 decimal places.)

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Senior executives at an oil company are trying to decide whether to drill for oil in a particular field. It costs the company $750,000 to drill. The company estimates that if oil is found the estimated value will be $3,650,000. At present, the company believes that there is a 48% chance that the field actually contains oil.  Before drilling, the company can hire an expert at a cost of $75,000 to perform tests to make a prediction of whether oil is present. Based on a similar test, the probability that the test will predict oil on the field is 0.55. The probability of actually finding oil when oil was predicted is 0.85. The probability of actually finding oil when no oil was predicted is 0.2. What is the EMV if the company hires the expert?

Given the following data, use least-squares regression to derive a trend equation: Period Demand where y Demand and x = Period. 1 10 2 12 3 5 4 13 5 12 6 11 D The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places):

Hi, I need help with solving for the following values (boxed). Thank you.

A careful analysis of the cost of operating an automobile was conducted by accounting manager Dia Bandaly. The following model was developed: y = 3,600+ 0.16x, where y is the annual cost and x is the miles driven. a) If the car is driven 15,000 miles this year, the forecasted cost of operating this automobile = $ b) If the car is driven 26,000 miles this year, the forecasted cost of operating this automobile = $ (enter your response as a whole number). (enter your response as a whole number).

Please answer question attached in the image below