Select a complex process from your personal life or work. Use Microsoft® PowerPoint® or other software including Vizio, Word, etc. to create a flowchart of the as-is process. Define metrics and measure the current process. Use process improvement techniques to improve the process. Use Microsoft® PowerPoint® or other software such as Vizio, Word, etc. to create an improved process flowchart. Use judgmental forecasting, which is your professional judgement, to ascertain how the future process will perform according to your metrics.Develop a 525-word executive summary in which you describe your process improvement project (including the as-is process flowchart and the improved process flowchart). Note: Students and faculty are reminded both Six Sigma readings and Lean Principles introduced in Week 2 are spread throughout the entire course. Students will apply the knowledge from the readings in their Learning Teams throughout the course.Format your assignment consistent with APA guidelines.

Regression analysis is a powerful statistical method that allows you to examine the relationship between two or more variables of interest. While there are many types of regression analysis, at their core they all examine the influence of one or more independent variables on a dependent variable.Key TermsAn explanatory variable (X) is a type of independent variable. The two terms are often used interchangeably. But there is a subtle difference between the two. When a variable is independent, it is not affected at all by any other variables. When a variable isn't independent for certain, it's an explanatory variable.An explained variable (Y) is a type of dependent variable. It is the variable in which we are interested. The effects of the explanatory variables are present in the explained variable.HypothesisHo: X is not a significant factor in explaining YHa: X is a significant factor in explaining YP Value -- This is the probability of making a Type I error.Rejection rule -- If P <= alpha, we reject the Ho.https://www.youtube.com/watch?v=1XX2pHa2mwoVideo helpQuestionsWhich factors are significant in predicting wages?How much explanatory power do these factors have together? Of those factors that are significant, which has the highest impact on wages?Use those factors to predict the wages for each of the following individualsJoe is a 48 year old married man with 22 years education, 25 years experience, and lives in Louisiana.Monica is a 50 year old single woman with 18 years education, 35 years experience, and lives in Texas.Jamal is a 58 year old married man with 16 years education, 40 years experience, and lives in NYC.Izzy is a 35 year old married man with 12 years education, 20 years experience, and lives in Florida.Input your own stats and see what your wages would be.Please submit word doc with question and excel file with excel work

https://www.nytimes.com/2015/08/16/technology/inside-amazon-wrestling-big-ideas-in-a-bruising-workplace.htmlThe New York Times article in this week's readings discusses culture and leadership at Amazon.Applying leadership concepts that we have covered so far in this course, what is your perspective on how culture drives results at Amazon?