1. This week in the course, you are reading about simple linear regression, one of the most important concepts in the field of statistics. Managerial decisions often are based on the relationship between two or more variables. For example, after considering the relationship between advertising expenditures and sales, a marketing manager might attempt to predict sales for a given level of advertising expenditures. In another case, a public utility might use the relationship between the daily high temperature and the demand for electricity to predict electricity usage on the basis of next month's anticipated daily high temperatures. Sometimes a manager will rely on intuition to judge how two variables are related. However, if data can be obtained, a statistical procedure calledregression analysiscan be used to develop an equation showing how the variables are related. Though the simple linear regression model is seldom used because most phenomena are affected by multiple variables, the simple linear regression model is the foundation for the more sophisticated models. As you review the article below, consider the potential variables and how you could develop a model to define the relationship between the variables. Read the article at the link below. FOR EACH OF THE SUB-TOPICS BELOW SUCH AS A, B, C, ETC., PLEASE BE SURE TO INCLUDE 6 - 8 SENTENCES TO ADEQUATELY ADDRESS EACH SUBTOPIC.

https://www.the74million.org/article/alarming-statistics-tell-the-story-behind-americas-college-completion-crisis-nearly-a-third-of-all-college-student-still-dont-have-a-degree-six-years-later/Links to an external site.

a. Provide a detailed summary of the article in terms of the key points, major issues raised, what you perceived as the most important facts, and any suggestions or recommendations you might have etc.

b. Evaluate the article and identify the important factors which the author overlooked or were not taken into context and might have led to different conclusions.

c. Comment on the various statistics which were used throughout the article and state whether the statistics provided enough evidence to support the writer's position. If you were to write a similar article, which statistics would you collect that the writer did not mention, and why would you collect them? What would be the importance of the statistics?

d. Based on your review of the article, provide alternatives to the author's view, that you believe are the most significant indicators of the failure to earn a college degree within six years.

2. In regression terminology, the variable being predicted is called the dependent variable. The variable or variables being used to predict the value of the dependent variable are called the independent variables. For example, in analyzing the effect of advertising expenditures on sales, a marketing manager's desire to predict sales would suggest making sales the dependent variable. Advertising expenditure would be the independent variable used to help predict sales. In statistical notation, "y" denotes the dependent variable and "x" denotes the independent variable. Regression analysis involving two or more independent variables is called multiple regression analysis. Using the information in the article, respond to the following questions below. FOR EACH OF THE SUB-TOPICS BELOW SUCH AS A, B, C, ETC., PLEASE BE SURE TO INCLUDE 6 - 8 SENTENCES TO ADEQUATELY ADDRESS EACH SUBTOPIC.

a. Choose or develop an independent and a dependent variable related to the information. Clearly state how you would collect data related to the variables and describe the type of relationship you would expect to see from simple linear regression analysis. Please note that simple regression analysis requires quantitative variables that can be measured. Race, gender, ethnicity etc., are not quantitative variables. Age, height, weight etc are quantitative variables.

b. Identify a significant moderating variable between your dependent and independent variable and explain the impact of the moderating variable. Explain how a college student, the college administration, and the Department of Education could benefit from your regression analysis and the specific variables you identified. State how your regression analysis could change the outcome for students.

c. You are now the president of a university. Describe the actions you would take, based on the analysis you completed.