Description
really need the help xc
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Review
Review
Anonymous
I was stuck on this subject and a friend recommended Studypool. I'm so glad I checked it out!
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
11 pages
Difference between Descriptive Statistics and Inferential Statistics
Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data co ...
Difference between Descriptive Statistics and Inferential Statistics
Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data.
3 pages
Statistics Responses
A survey gathering data on the numeric pain rating scale of patients would be quantitative data since the responses to the ...
Statistics Responses
A survey gathering data on the numeric pain rating scale of patients would be quantitative data since the responses to the survey would be numerical, ...
2 pages
Translations
1. Not all murderers deserve capital punishment, but Smith is a murderer who deserves Let M(x) = x is murderer; C(x) = x d ...
Translations
1. Not all murderers deserve capital punishment, but Smith is a murderer who deserves Let M(x) = x is murderer; C(x) = x deserves capital punishment; ...
Week 1 Assignment: Predictive analytics techniques
The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these t ...
Week 1 Assignment: Predictive analytics techniques
The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these techniques to forecast outcomes and make business decisions.Using specified data files, chapter example files, and templates from the “Topic 1 Student Data, Template, and Example Files” topic material, complete Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook. Use the Palisade DecisionTools Excel software to complete these problems where requested and applicable. Problem 60 should be completed using only Excel.To receive full credit on the assignment, complete the following.Ensure that the Palisade software output is included with your submission.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook:28. The file P12_10.xlsx contains annual revenues for a convenience store. If you want to forecast revenue for the next few years with the moving averages method, what span should you use? Will any span work well?.30. The file P02_28.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with one or more spans of your choice to forecast U.S. retail sales for the next 12 months. Comment on the performance of your model. What makes this time series more challenging to forecast?34. Consider the American Express closing price data in the file P12_16.xlsx.a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think should be used for forecasting? Why?b. Use Holt’s exponential smoothing to forecast these data, using no holdout period and requesting 20 days of future forecasts. Use the default smoothing constants of 0.1.c. Repeat part b, optimizing the smoothing constants. Does it make much of an improvement?d. Repeat parts a and b, this time using a holdout period of 50 days.e. Write a short report to summarize your results.46. The file P12_46.xlsx contains monthly time series data for total U.S. retail sales of building materials, garden equipment, and supplies dealers.a. Is seasonality present in these data? If so, characterize the seasonality pattern.b. Use the Deseasonalize option in StatTools to forecast the deseasonalized data for each month of the next year using the moving average method with an appropriate span.c. Does Holt’s exponential smoothing method, with optimal smoothing constants, outperform the moving average method employed in part b? Demonstrate why or why not.60. The file P12_60.xlsx lists annual revenues (in millions of dollars) for Nike. Create a time series graph of these data. Then superimpose a trend line with Excel’s Trendline option. Which of the possible Trendline options seems to provide the best fit? Using this option, what are your forecasts for the next two years?62. The file P12_62.xlsx contains data on a motel chain’s revenue and advertising.b. Use simple exponential smoothing to make predictions for the motel chain’s revenues during the next four quarters.c. Use Holt’s method to make forecasts for the motel chain’s revenues during the next four quarters.d. Use Winters’ method to determine predictions for the motel chain’s revenues during the next four quarters.e. Which of these forecasting methods would you expect to be the most accurate for these data?63. The file P12_63.xlsx contains data on monthly U.S. permits for new housing units (in thousands of houses).a. Using Winters’ method, find values of , , and that yield an RMSE as small as possible. Does this method track the housing crash in recent years?b. Although we have not discussed autocorrelation for smoothing methods, good forecasts derived from smoothing methods should exhibit no substantial autocorrelation in their forecast errors. Is this true for the forecasts in part a?c. At the end of the observed period, what is the forecast of housing sales during the next few months?PLEASE USE THE ATTACHED "MIS-665-RS-Topic-1-Student-Data-Template-and-Example-Files.zip" TO GAIN THE DATA FOR EACH QUESTION.
Graphs, Functions, and Trees, math homework help
Examine two to three of the challenges involved with using graphs, functions, and trees when modeling relationships. Provi ...
Graphs, Functions, and Trees, math homework help
Examine two to three of the challenges involved with using graphs, functions, and trees when modeling relationships. Provide examples with your response.Of the topics presented in this chapter, determine which is the most important for solving relational thinking problems. Discuss your reasoning behind your selection.
Sample Size and Power
Question 1: You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have ...
Sample Size and Power
Question 1: You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have enough power to detect differences in your sample, you need to run a power analysis in G*Power. Assume that you are expecting a medium effect size (0.5), α = 0.05, and a minimum power of 0.90. Your experiment utilizes three (3) groups. What is the required sample size (a priori)? How many data points should exist in each group? Question 2: You conducted a Chi-Square Goodness of Fit Test in your ASCI 691 capstone project. Unfortunately, you did not get the sample size you had hoped for during your research. You were able to get 65 in the sample. Calculate your actual power (post hoc). You did a 2 X 2 table. Assume you had a medium effect size.
Similar Content
probability problem on 8/7 saxon math lesson 63 number 14
what is the probability of drawing a red face card when drawing one card from a normal deck?...
Inclusion and Exclusion Principle in a Discrete Math Problems
Suppose you have seven dice–each a different color of the rainbow; otherwise the dice are standard,with faces numbered 1...
A right triangle is removed from a rectangle to create the shaded region shown
...
mathematics rational numbers
john created a painting on a large piece of paper with a length of 2 5/8 meters and a width of 1 3/4 meters. write an expr...
please solve
File attached file attached thanks for helping me with my assignment I really appreciate it . Exponents Please follow the ...
(i) x+y+z=0 x^3+y^3+z^3=? (ii) Evaluate: (x^2-9)/x^2-6x-27, Algebra Homework Help
(i) x+y+z=0
x^3+y^3+z^3=?
(ii) Evaluate: (x^2-9)/x^2-6x-27....
Pre Cal Work
...
Activity7 Spr2020
Sizes of the members of the TU football team (a) Create a scatterplot with Height on the x (e) Use the model to predict th...
Stone Walkways
In order to construct a stone paver walkway, Cheryl ordered 2 and 2/3 tons of light-colored field stone pavers for the mai...
Related Tags
Book Guides
Herzog
by Saul Bellow
The Color Purple
by Alice Walker
The Lost Man
by Jane Harper
The Adventures of Huckleberry Finn
by Mark Twain
The Goldfinch
by Donna Tartt
Enders Game
by E. M. Forster
Dandelion Wine
by Ray Bradbury
The Calcutta Chromosome
by Amitav Ghosh
The Sixth Extinction An Unnatural History
by Elizabeth Kolbert
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
11 pages
Difference between Descriptive Statistics and Inferential Statistics
Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data co ...
Difference between Descriptive Statistics and Inferential Statistics
Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data.
3 pages
Statistics Responses
A survey gathering data on the numeric pain rating scale of patients would be quantitative data since the responses to the ...
Statistics Responses
A survey gathering data on the numeric pain rating scale of patients would be quantitative data since the responses to the survey would be numerical, ...
2 pages
Translations
1. Not all murderers deserve capital punishment, but Smith is a murderer who deserves Let M(x) = x is murderer; C(x) = x d ...
Translations
1. Not all murderers deserve capital punishment, but Smith is a murderer who deserves Let M(x) = x is murderer; C(x) = x deserves capital punishment; ...
Week 1 Assignment: Predictive analytics techniques
The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these t ...
Week 1 Assignment: Predictive analytics techniques
The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these techniques to forecast outcomes and make business decisions.Using specified data files, chapter example files, and templates from the “Topic 1 Student Data, Template, and Example Files” topic material, complete Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook. Use the Palisade DecisionTools Excel software to complete these problems where requested and applicable. Problem 60 should be completed using only Excel.To receive full credit on the assignment, complete the following.Ensure that the Palisade software output is included with your submission.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook:28. The file P12_10.xlsx contains annual revenues for a convenience store. If you want to forecast revenue for the next few years with the moving averages method, what span should you use? Will any span work well?.30. The file P02_28.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with one or more spans of your choice to forecast U.S. retail sales for the next 12 months. Comment on the performance of your model. What makes this time series more challenging to forecast?34. Consider the American Express closing price data in the file P12_16.xlsx.a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think should be used for forecasting? Why?b. Use Holt’s exponential smoothing to forecast these data, using no holdout period and requesting 20 days of future forecasts. Use the default smoothing constants of 0.1.c. Repeat part b, optimizing the smoothing constants. Does it make much of an improvement?d. Repeat parts a and b, this time using a holdout period of 50 days.e. Write a short report to summarize your results.46. The file P12_46.xlsx contains monthly time series data for total U.S. retail sales of building materials, garden equipment, and supplies dealers.a. Is seasonality present in these data? If so, characterize the seasonality pattern.b. Use the Deseasonalize option in StatTools to forecast the deseasonalized data for each month of the next year using the moving average method with an appropriate span.c. Does Holt’s exponential smoothing method, with optimal smoothing constants, outperform the moving average method employed in part b? Demonstrate why or why not.60. The file P12_60.xlsx lists annual revenues (in millions of dollars) for Nike. Create a time series graph of these data. Then superimpose a trend line with Excel’s Trendline option. Which of the possible Trendline options seems to provide the best fit? Using this option, what are your forecasts for the next two years?62. The file P12_62.xlsx contains data on a motel chain’s revenue and advertising.b. Use simple exponential smoothing to make predictions for the motel chain’s revenues during the next four quarters.c. Use Holt’s method to make forecasts for the motel chain’s revenues during the next four quarters.d. Use Winters’ method to determine predictions for the motel chain’s revenues during the next four quarters.e. Which of these forecasting methods would you expect to be the most accurate for these data?63. The file P12_63.xlsx contains data on monthly U.S. permits for new housing units (in thousands of houses).a. Using Winters’ method, find values of , , and that yield an RMSE as small as possible. Does this method track the housing crash in recent years?b. Although we have not discussed autocorrelation for smoothing methods, good forecasts derived from smoothing methods should exhibit no substantial autocorrelation in their forecast errors. Is this true for the forecasts in part a?c. At the end of the observed period, what is the forecast of housing sales during the next few months?PLEASE USE THE ATTACHED "MIS-665-RS-Topic-1-Student-Data-Template-and-Example-Files.zip" TO GAIN THE DATA FOR EACH QUESTION.
Graphs, Functions, and Trees, math homework help
Examine two to three of the challenges involved with using graphs, functions, and trees when modeling relationships. Provi ...
Graphs, Functions, and Trees, math homework help
Examine two to three of the challenges involved with using graphs, functions, and trees when modeling relationships. Provide examples with your response.Of the topics presented in this chapter, determine which is the most important for solving relational thinking problems. Discuss your reasoning behind your selection.
Sample Size and Power
Question 1: You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have ...
Sample Size and Power
Question 1: You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have enough power to detect differences in your sample, you need to run a power analysis in G*Power. Assume that you are expecting a medium effect size (0.5), α = 0.05, and a minimum power of 0.90. Your experiment utilizes three (3) groups. What is the required sample size (a priori)? How many data points should exist in each group? Question 2: You conducted a Chi-Square Goodness of Fit Test in your ASCI 691 capstone project. Unfortunately, you did not get the sample size you had hoped for during your research. You were able to get 65 in the sample. Calculate your actual power (post hoc). You did a 2 X 2 table. Assume you had a medium effect size.
Earn money selling
your Study Documents