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- Chart and Regression analysis : What does the intercept predict? X: C16 (number of cars on the sales lot) versus Y: C17 (cars sold per day) Equation: y=2.9x + 14.5 Slope:2.9 Intercept:14.5 Does the intercept mean the intercept is 14.5 means that the cars sold per day( Y) predicted number of cars on sale lot(X) to be 14.5, but this intercept has no meaning. So, I will not use to predict cars sold per day?Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $14.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR I II III IV QUANTITY (UNITS) Y = 14 20 28 18 QUARTER THIS YEAR I II III IV QUANTITY (UNITS) 20 26 30 15 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) > Answer is complete but not entirely correct. 18.535 X + 0.630 tThe number of hybrid cars that have be requested for rental from a car rental office during a 50 day sample period is given in the following table. Demand for Cars Number of Days Probability 3 3 0.06 4 7 0.14 5 12 0.24 6 14 0.28 7 10 0.20 8 4 0.08 50 1.00What is the expected (mean) number of hybrid rentals per day? Compute to one decimal place.
- Figure shows summer air visibility measurements for Denver, Colorado. The acceptable visibility standard is 100, with readings above 100 indicating clean air and good visibility, and readings below 100 indicating temperature inversions caused by forest fires, volcanic eruptions, or collisions with comets.a. Is a trend evident in the data? Which time-series techniques might be appropriate for estimating the average of these data?b. A medical center for asthma and respiratory diseases located in Denver has great demand for its services when air quality is poor. If you were in charge of developing a short-term (say, 3-day) forecast of visibility, which causal factor(s) would you analyze? In other words, which external factors hold the potential to significantly affect visibility in the short term?c. Tourism, an important factor in Denver’s economy, is affected by the city’s image. Air quality, as measured by visibility, affects the city’s image. If you were responsible for development of…Given the attached data. Answer the following questions for a 7 period moving average. t At 1 5477 2 3338 3 4799 4 2852 5 6332 6 8385 7 4382 8 4184 9 14229 10 10385 11 11676 12 5271 13 8938 14 9279 15 13990 16 2890 17 13027 18 8970 19 6700 20 7065 21 12491 22 8748 23 8396 24 6102 25 7559 26 7997 27 11981 28 10680 29 5783 30 2501 31 7620 32 10194 33 7908 34 11985 35 5863 36 3024 37 8758 38 1640 39 6569 40 11728 41 6659 42 2830 43 10018 44 8448 45 12409 46 2083 47 6374 48 7438 49 4576 50 4795 MAD = Average(|A-F|) TS =SUM(A-F)/MAD MSE = Average(A-F)2 1. Compute your forecast for period 51. The potential answers are: A: 11221.6 units. B: 12461 units. C: 8020.83 units. D: 4414 units. E: 6589 units.Problem 6-2 (Algo) Rachel loves to bake cookies, but she has an old oven that has trouble maintaining a constant temperature. If the acceptable temperature range for making the cookies is 350 plus or minus 10 degrees, what is the allowable standard deviation in the temperature of her oven in order to achieve a Six Sigma level of quality? Note: Round your answer to 3 decimal places. Standard deviation degrees
- a) Calculate the three point moving averages (quarters) and seasonal variation for the above data b) A detective figures he has a one in nine chance of recovering stolen property. His out-of-pocket expenses for the investigation are $9,000. He is only paid his fee if he recovers the stolen property, what should he charge clients in order to breakeven? c) At races, your horse, has a probability of 1/20 of coming 1st, 1/10 of coming 2nd and a probability of 1⁄4 in coming 3rd. First place pays $4,500 to the winner, second place $3,500 and third place $1,500.Hence, is it worth entering the race if it costs $799? d) Your company plans to invest in a particular project. There is a 35% chance you will lose $30,000, a 40% chance you will break even, and a 25% chance you will make $65,000. Based solely on this information, what should youdo? e) A manufacturer is considering the production of a new and better mousetrap. She estimates the probability that the new mousetrap is successful is 3⁄4.…YEAR 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 ARRIVAL ('000) 35.5 28 30.3 36 49.5 56 72.4 71 79.3 96 DELAYED RATE 4.2 3.8 3.8 3.5 4.6 4.5 4.6 4.6 4.7 4.5 A marketing analyst for Rockstar Travel Company. He wants to analyze the trend of international tourist arrival in KL by using international tourist arrival rate and flight delayed rate over the past 10 years. Propose ONE (1) forecasting model that can be used by Alvin. Why would you proposed that particular model? Develop the forecasting model that you suggest in (i). Briefly explain your model.Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F p Regression 2 77.907 38.954 4.14 0.021 Residual Error 62 583.693 9.414 Total 64 661.600 a-1. Determine the standard error of estimate. (Round your answer to 3 decimal places.) a-2. About 95% of the residuals will be between what two values? (Round your answers to 3 decimal places.) b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.) b-2. Interpret the coefficient of multiple determination. (Round your answer to 1 decimal place.) Determine the coefficient of multiple determination, adjusted for the degrees of freedom. (Round your answer to 3 decimal places.) Prev Question 5 of 30 Total5 of 3
- b. The mean absolute deviation as of the end of week 10 is___ rentals enter your response here. (Enter your response rounded to two decimal places.)Fill the following blanks with appropriate abbreviations supplied: ________ =mean absolute percentage error, ________ = fixed cost, _______ = slope, _______ = correlation coefficient, _______ = smoothing constant, ________ = intercept, _________ = trend smoothing constant, α FC β MAPE b r aAn auditor used regression analysis to evaluate the relationship between utility costs andmachine hours. The following information was developed using a computer softwareprogram: Intercept 2,050 Standard error of estimate 200Regression 0.825 Number of observations 36Correlation coefficient 0.800 How much is the utility cost if the company’s 10 machines will use 2,400 hours next month?a. ₱3,830b. ₱3,970c. ₱4,030d. ₱4,050