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1. WBS is required for this assignment2. workflow model that can be used to inspect and detect defects during the acceptance of this mobile product is required for this assignmentImagine that you are employed as an IT project manager by a prestigious coffeemaker organization. This organization operates many coffee shops within the region and would like to promote its brand by creating a mobile application that will provide its customers with the ability to view the nearest coffee shop location within their geographical area. As a member of the software development team, you estimate a total project cost of $150,000. You have designated control points to measure project progress. At control point 2, the following data is available: Budget Cost of Work Performed$ 24,000Actual Cost of Work Performed$ 27,500There are various stakeholders that are interested in the progress of the project. These stakeholders include the marketing management team (internal customers), software designers, programmers, testers, and upper management. The software development team has attempted to release a mobile application of this magnitude in the past; however, lack of sponsorship, mobile development expertise, and technical infrastructure has limited the team’s success.Write a four to six (4-6) page paper in which you:Identify at least four (4) attributes of the mobile application development project that can be measured and controlled and evaluate how each is a critical factor for the success of the project.Generate a project plan summary of the various project milestones. Develop a WBS that details work packages required to complete project scope.Develop a workflow model that can be used to inspect and detect defects during the acceptance of this mobile product through the use of graphical tools in Microsoft Word or Visio, or an open source alternative such as Dia. Note: The graphically depicted solution is not included in the required page length. Describe how the defects detected during the acceptance of the mobile application should be reported and explain the circumstances in which a defect may not require reporting. Analyze the communication needs of the different project stakeholders. Explain the types of project status reports that would be useful to each. Compute the cost variance, schedule variance, cost performance index, schedule performance index, and estimated actual cost using the information presented at control point 2. Interpret the project schedule and budget status from the calculations. Explain how work package, binary tracking, and earned valued reporting can be used effectively during the maintenance phase of the software life cycle if various change requests may be assigned to individuals and processed on an individual basis.Develop a risk register that will document all of the estimated risks. Assign one (1) risk management technique for each risk and explain the basis for your selection. Use at least five (5) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources. Your assignment must follow these formatting requirements:Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.Include charts or diagrams created in Visio or Dia. The completed diagrams / charts must be imported into the Word document before the paper is submitted.Use this template APA_Template_With_Advice_(6th_Ed) .docDiagram must be attached in a seperate file.

In this homework, you will be performing linear regression on a data set of your choice. Perform the following for this homework:Find a data set of your choice from a valid source. You may use a previously used data set. If you have categorical data, you may want to create dummy variables.Split up your data set into a training set and a scoring set. Rename the data sets appropriately. The scoring data set should not include the column that you are trying to predict.Import both data sets into RapidMiner and check the ranges on all attributes. If some observations in the scoring data set for an attribute lie below or above the training data set’s lower or upper bound for that respective attribute, then remove these observations that are outside this range. Take a screenshot of the loaded data sets.Set the role of the attribute in the training stream that you are trying to predict as a label.Perform linear regression by adding the “Linear Regression” operator to the training stream and adding the “Apply Model” operator to connect the training stream to the scoring stream. Take a screenshot of the final process stream.Run the model and take screenshots of both the linear regression results (i.e., table with regression coefficients) and the results of predictions made on the scoring data set. Evaluate and interpret your results. Examine your attribute coefficients and the predictions made in the scoring data set. In your interpretation of results, you should include answers to the following questions:Which attributes have the greatest weight?What would the resulting mathematical formula be for the regression line?Were any attributes dropped from the data set as non-predictors? If so, which ones and why do you think they weren’t effective predictors?What can you conclude from the predictions made?Submission Instructions:Please type up your homework using the homework template posted on Blackboard under Assignments. You should include at least four screenshots: (1) data set loaded in RapidMiner, (2) final process stream, (3) linear regression results (i.e., table with regression coefficients), and (4) results of predictions made on the scoring data set. Remember to interpret your results and answer all questions above in step