Suppose that returns rt follow an AR(1) process with mean 0, autoregressive coefficient 0.6 and errors that are white noise N(0,1). The last return observed in your sample is 3. Predict the return tomorrow and two days ahead and give the standard errors of the forecasts
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Suppose that returns rt follow an AR(1) process with mean 0, autoregressive coefficient 0.6 and errors that are white noise N(0,1). The last return observed in your sample is 3. Predict the return tomorrow and two days ahead and give the standard errors of the
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- Find mean 2,3,53,63,75,61,53A bakery has determined that the number of loaves of its white bread demanded daily has a normal distribution with mean 7,200 loaves and standard deviation 300 loaves. Based on cost considerations, the company has decided that its best strategy is to produce a sufficient number of loaves so that it will fully supply demand on 94% of all days. a. How many loaves of bread should the company produce? b. Based on the production in part (a), on what percentage of days will the company be left with more than 500 loaves of unsold bread?Vary the “Capacity” of Storage from 70 to 94 in increments of 4. For each capacity level, perform 30 simulations and report the overall mean service level for Purchase Requests. (Recall that we assume the bakery has adequate capacity to supply these various amounts to the store because we have set “Number of objects per arrival” to 200.) Also report the overall mean cycle time of simulated loaves in Storage. What level of inventory do you recommend to achieve a service level of .99?
- Mai sells makeup online and has noticed that demand for her products, glittery lip gloss, has varied wildly over the past few months she has been selling it. She's been doing some online advertising and thinks there might be a relationship between how much she's spending each week on ads and her weekly lip gloss sales, so she's used Excel to create an Associative Forecast: where the intercept is -20 and the slope is 2.5 per $ spent advertising. Use this information to forecast lip gloss sales in week 18, when she will be spending $100 on advertising. Answer:Your savings account balance at the end of May was $500. You made a $200 deposit on June 4 and withdrew $100 on June 25. Calculate your average (mean) daily balance for June.The number of major snowstorms (that shut down businesses) has a Poisson distribution with rate 0.4 per month Hom January through March. A restaurant buys an insurance policy to insure against losses. The policy pays nothing for the first major snowstorm that occurs in January through March, but pays $2,000 for every major snowstorm thereafter for that period up to $6.000. a) Find the probability there are 4 or more snow storms during the 3-month period. b) Find the expected amount paid by the policy during the 3-month period.
- Calculate the expected mean for this equation, while µ 0.a ; $1 = 0.0a Yt = µ + $1yt-1+UtDependent Variable: Pass Experience Male Malex Experience Constant Probit Logit (1) (2) 0.031 0.040 (0.009) (0.016) 0.712 (0.126) Linear Probability (3) 0.006 (0.002) 1.059 0.774 (0.221) (0.034) Probit (4) -0.333 (0.161) 1.282 (0.124) Logit (5) -0.622 (0.303) 2.197 (0.242) Linear Probability (6) -0.071 (0.034) 0.900 (0.022) Probit (7) 0.041 (0.156) -0.074 (0.259) -0.015 (0.019) 0.806 (0.200) Problem 1. (~SW 11.2) Using the results of column (2): (a) Does the probability of passing the test depend on Experience? Explain. (b) Matthew has 10 years of driving experience. What is the probability that he will pass the test? (c) Christopher is a new driver (zero years of experience). What is the probability that he will pass the test? (d) Sketch the predicted probabilities from the probit and logit regressions in column (1) and (2) for values of Experience between 0 and 60. Are the probit and logit models similar?Southern States Bank and Trust Southern States Bank and Trust monitors its drive-thru service times electronically to ensure that its speed of service is meeting the company's goal. A sample of drive-thru times at the UCF branch was recently taken and is shown here. The frequency is the number of service times and the time interval is the service time in minutes. Time Interval Frequency 10 - 19 5 20 29 12 30 39 13 40 49 11 50 59 6. Compute the mean for these sample data. (Round to the nearest 2 decimal places, if needed.)