The purpose of this assignment is to apply simple regression concepts, interpret simple regression analysis models, and justify business predictions based upon the analysis. For this assignment, you will use the "Trucks" dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs. The business characteristics of n = 250 U.S. trucking and delivery companies for calendar year 2011 were recorded. Among the characteristics studied were the number of drivers and the number of trucks (power units) each company employed. Part 1: Given that the data consists of counts and range of counts is large, a natural log transformation is usually performed to improve the linear model results. Apply a natural log transform to both variables and then plot the Y = log(Trucks) vs. X = log(Drivers). Is there a linear relationship? Justify your answer by providing the SPSS output as an illustration. Part 2: Build a simple linear model by regressing Y on X and testing whether or not a relationship exists between the number of drivers and the number of trucks. Address the following questions in your written response: After fitting the model, plot the standardized residuals (on vertical axis) vs. the standardize predictions (on horizontal axis). Is there a pattern? How would you interpret the pattern or lack of pattern? After fitting the model, derive the normal probability plot and interpret what the plot means. What is the coefficient of determination, R2, of the model? How would you interpret the R2? What is the estimate of β1? How would you interpret the estimate of β1? Is the estimate of β1 significantly different than 0? Assume an α = 0.01. What is a 95% confidence interval for β1? How would you interpret the 95% confidence interval for β1? If a new trucking and delivery company with 4,900 drivers were to be formed, how many trucks would you expect the company would employ based on the model? This assignment uses a grading rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. 1 Unsatisfactory 0.00% 2 Less than Satisfactory 74.00% 3 Satisfactory 79.00% 4 Good 87.00% 5 Excellent 100.00% 100.0 %Content 15.0 %Simple Regression Analysis Part 1 Discussion of the linear relationship and supporting SPSS output chart are not included. Discussion of the linear relationship and supporting SPSS output chart are incomplete or incorrect. Discussion of the linear relationship and supporting SPSS output chart are included but contain inaccuracies. Discussion of the linear relationship and supporting SPSS output chart are complete and mostly accurate. Discussion of the linear relationship and supporting SPSS output chart are complete and correct. 75.0 %Simple Regression Analysis Part 2 Answers to simple regression analysis questions and supporting SPSS output charts are not included. Answers to simple regression analysis questions and supporting SPSS output charts are incomplete or incorrect. Answers to simple regression analysis questions and supporting SPSS output charts are included but contain errors or inaccuracies. Answers to simple regression analysis questions and supporting SPSS output charts are mostly complete and accurate. Answers to simple regression analysis questions and supporting SPSS output charts are complete and accurate. 10.0 %Mechanics of Writing (includes spelling, punctuation, grammar, language use) Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is used. Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed. Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech. Writer is clearly in command of standard, written, academic English. 100 %Total Weightage

 Discussion 1"Innovation" Please respond to the following:Speculate on why Agile development and project management drives innovation and traditional “waterfall” project management cannot. Give your opinion as to whether or not this is one of the reasons why the waterfall methods have less applicability in the mainframe era. Justify your response. Analyze how feature-based delivery in Agile projects can deliver value quickly and incrementally during the life of the project. Include an example to support your response.Building a Self-Organizing Team" Please respond to the following:Take a position on whether or not Agile teams are leaderless. Justify your response.Explain how to balance accountability and collaboration in an Agile team. Provide an example to support your response.