Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Using exponential smoothing with a smoothing constant (a) of 0.30 and a starting forecast of 410.00, the following sales forecast has been developed: Year 2005 2006 2007 Year 2008 2009 2005 Forecasted Sales 410.00 Sales 450 495 518 563 584 D The MAD for a forecast developed using exponential smoothing with a = 0.30 is 74.74 sales (round your response to two decimal places). Forecasted sales for years 2006 through 2010 using exponential smoothing with a = 0.60 and a starting forecast of 410.00 are (round your responses to two decimal places): 2006 2007 2008 2009 2010 ■ Forecasted Sales 410.00 422.00 443.90 466.13 495.19

A hotel is monitoring how the number of increases in price affects the weekly profit. The table models the weekly profit, y, after a given number of price increases, x. Which type of models would best fit the data?

Eloise needs to finish a 516-page report on international trade so she can present it at the big conference this weekend. She's been tracking her page count at the end of each business day to see if she's on track. Use Excel to fit a trendline to Eloise's data to create a model of her productivity. According to your model, will Eloise be able to finish her report by the end of the day next Friday? Assume she works only on weekdays. Day Pages Monday 425 Tuesday 431 Wednesday 449 Thursday 464 Friday 471 A: Use Excel to fit a trendline to Eloise's data. What are the slope and intercept for this line? The slope is The intercept is B: Use your model (trendline) to answer the question. Will Eloise finish her report by the end of next friday? Yes

Table 3 gives the market value of a luxury sedan (in dollars) xyears after its purchase. Find an exponential regression model of the form y= ab* for this data set. Estimate the purchase price of the sedan. Estimate the value of the sedan 10 years after its purchase. Round answers to the nearest dollar. TABLE 3 Value ($) 1 23,125 19,050 3 15,625 11,875 5 9,450 6 7,125 2.

Suppose that a simple linear regression model is appropriate for describing the relationship between y = house price (in dollars) and x = house size (in square feet) for houses in a large city. The population regression line is y = 22,500 + 43x and ?e = 4,000. b) Approximately what proportion of 2,000 sq ft homes would be priced over $110,000? (You may need to use a table. Round your answer to four decimal places.)   Approximately what proportion of 2,000 sq ft homes would be priced under $100,000? (You may need to use a table. Round your answer to four decimal places.)

Please help with correct answers in detail as last answer given was incorrect: Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 19 14 17 12 18 15 Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? choose correct answer The exponential smoothing using ? = 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using ? = 0.4. The exponential smoothing using ? = 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using ? = 0.4.    The exponential smoothing using ? = 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using ? = 0.2. The exponential smoothing using ? = 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using ? = 0.2.