Hightower Global Solutions 9.09.1 for the entire Project Management Plan •Assume that you are the Project manager for this Project. Add data based on your best assumptions where it is needed. •Do not repeat the case study •You may use the “optional templates” provided as examples. •Provide one to two paragraphs to describe the process and include examples. •Your submission must be in one document.  The “optional templates” should be included in the sections. •Do not use an appendix or separate files for the submittal. •There is a video provided on how to merge word documents from portrait to landscape in the project below. •Keep your paper organized with sub headers that align with the rubric.  A paper submittal template is provided in the announcement for you to use to organize your paper is shown below (see attachment) Video for the assignment:    https://allaplusessays.com/order (MUST watch) Process outlined in Video to Merge Portrait and Landscape Documents into one document:   https://allaplusessays.com/order  12 pt fontTimes new roman1” marginsDue by Friday 06/05/17** must be very detailed **   The paired data below consists of test scores and hours of preparation for 5 randomly selected students. x    Hours of preparation      5     2     9      6   10 y    Test score                        64   48   72    73   801. Use the given data and MS Excel and find the correlation coefficient r, regression equation and scatter plot. 2. Based on the linear correlation coefficient r, and  a = 0.05, is this a good model?  Explain. 3.  What is the best predicted test score for a student who spent 7 hours preparing for the test? 4.  Find the standard error . Use the formula or Microsoft Excel Regression 5.  Find the 99% prediction interval for the test score of a person who spent 7 hours preparing for the test given that E = 34.677. Interpret the result. 6.  Find the explained variation. 7.  Find the unexplained variation. 8.  Find the total variation. 9.  Find the value of r2 and explain its meaning. 10.  If the data point (3, 100) is added to the data set, how would this affect the results of the regression analysis?  Is this data point an outlier, influential point or both?  Explain.]]>

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