Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
1. A time series with forecast values and error terms is presented in the following table. The mean error (ME) for this forecast is ___________. Month Actual Forecast Error July 5 Aug 11 5 6.00 Sept 13 8.11 4.89 Oct 6 8.66 -2.66 Nov 5 7.862 -2.86 1.67 1.34 6.68 3.67 2.87 Question 2.2. In exponential smoothing models, the value of the smoothing constant may be any number between ___________. -1 and 1 -5 and 5 0 and 1 0 and 10 0 and 100 Question 3.3. Use of a smoothing constant value less than 0.5 in an exponential smoothing model gives more weight to ___________. the actual value for the current period the actual value for the previous period the forecast for the current period the forecast for the previous period the forecast for the next period Question 4.4. Using a 3-month moving average, the forecast value for October made at the end of September in the following time series would be ____________. July 12 Aug 5 Sept 7 Oct 11 7.67 8 9 6.89 7.25 Question 5.5. Using a 3-month moving average (with weights of 6, 3, and 1 for the most current value, next most current value, and oldest value, respectively), the forecast value for November in the following time series is ____________. July 5 Aug 11 Sept 12 Oct 6 11.60 10.00 9.67 8.30 8.60 . Question 6.6. The following graph of a time-series data suggests a _______________ trend. linear tangential cosine quadratic flat Question 7.7. Which of the following is not a component of time series data? Trend Seasonal fluctuations Cyclical fluctuations Normal fluctuations Irregular fluctuations Question 8.8. In an autoregressive forecasting model, the independent variable(s) is (are) ______. time-lagged values of the dependent variable first-order differences of the dependent variable second-order, or higher, differences of the dependent variable first-order quotients of the dependent variable time-lagged values of the independent variable Question 9.9. The motivation for using an index number is to ________________. transform the data to a standard normal distribution transform the data for a linear model eliminate bias from the sample reduce data to an easier-to-use, more convenient form reduce the variance in the data Question 10.10. Index numbers facilitate comparison of ____________. means data over time variances samples deviations
Calculate the standard deviation for the sample mean
Develop a sales forecast for each store for December Plot the data for each store.Use data in table.
Write up your lab experience including: the necessary steps (broadly, not detail with keystrokes) to collectpersistent data, the ease of use of the software
Describe the population of interest for the survey
Compute the mean price of the stock, what is the median price and compute the variance and standard deviation
What would be the appropriate statistical procedure to test the following hypothesis: "Triglyceride values are a good predictor of weight in obese adults." What are the functions of parametric statistical procedures?
Develop a 95% confidence interval estimate of the population mean sales price and population mean number of days to sell for Gulf View condominiums. Interpret your results.
Create the second data set by inserting eight data points all very close to 10 on the number line and record the standard deviation of this data set, and then delete that data set.
9.2 The dean of a graduate school wishes to predict the grade point average in graduate work for recent applicants. List a dozen variables that might be useful explanatory variables here.
Find the relation of question with some of the factors you think important as motivators of choosing the medical profession. Why do you choose these factors?
How many additional records have to be gathered.
What is the annualized excess performance (Jensen's Alpha) of the firms that DID NOTreplace their CEO and describe the assumptions behind the classical linear regression model and the three diagnostic tests we discussed in class, the commands you w..
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd