LOG301 Case and SLP 1-2 – savvyessaywriters.net | Savvy Essay Writers
Savvy Essay Writers Business & Finance Assignment Help
its four separate assignment please keep the Cases and SLPs separated. You don’t need to use the trident library
Week 2 assignment – savvyessaywriters.net | Savvy Essay Writers
Savvy Essay Writers Business & Finance Assignment Help
Prior to beginning work on this assignment, please read Chapters 6 through 8 in the course textbook.The concept of free trade has been a debated topic for decades. Is free trade really free? What role do governments play in free trade? What are the pros and cons of free trade for countries and for the planet? In a 500- to 700-word paper argue for or against the concept of free trade. (Make sure to address the questions above.) Support your paper with at least four sources, two of which must be scholarly.In your paper,Analyze the idea of free trade.Evaluate the pros and cons of free trade for countries and the planet.Evaluate the role governments play in free trade.The Free Trade and Government Regulations paperMust be 500 to 700 words, not including title page and reference page, and formatted according to APA Style as outlined in the Ashford Writing Center’s APA Style (Links to an external site.)Must include a separate title page with the following:Title of paperStudent’s nameCourse name and numberInstructor’s nameDate submitted
OC-4E – savvyessaywriters.net | Savvy Essay Writers
Savvy Essay Writers Business & Finance Assignment Help
Read Attachment carefully and answer fully in detail and by guidelines.
Wk6 DQ – Advanced Statistical Concepts and Business Analytics – savvyessaywriters.net | Savvy Essay Writers
Savvy Essay Writers Business & Finance Assignment Help
Question:Please answer each of the following questions in detail and provide examples for better clarity wherever applicable. Provide in-text citations. In answering the following questions please include choice of significance level and the effect of p values1. Logistic Regressiona. Explain the logistic regression model, the independent variables and the dependent variable, assumptions of the model, as well as the objectivesb. Given the data, what approach is taken to construct the model?c. Explain the effect of multicollinearity in logistic regression, and how multicollinearity is detectedd. Explain the hypotheses on coefficients of the regression and how the results of testing these hypotheses are interpreted about significance of these coefficients? Include both unidirectional and bidirectional situationse. How do you interpret the effect of significant coefficients?f. How are the distribution of the observed residuals of the constructed model tested for normality?g. What is the coefficient of determination, and what is its significance?h. How can the regression model be used for prediction?2. Discriminant Analysisa. Explain the discriminant analysis model, the independent variables and the dependent variable, assumptions of the model, as well as the objectivesb. Given the data, what approach is taken to construct the model?c. Explain the effect of multicollinearity in discriminant analysis, and how multicollinearity is detected?d. Explain the hypotheses on coefficients of the model and how the results of testing these hypotheses are interpreted about significance of these coefficients? Include both unidirectional and bidirectional situationse. How do you interpret the effect of significant coefficients?f. How the distribution of the observed residuals of the constructed model are tested for normality?g. What is the coefficient of determination, and what is its significance?h. How can the model be used for prediction?i. What is the confusion matrix in discriminant analysis?Note:1. In answering the above questions, you can provide examples formulated according to the model’s setting without actually constructing the solution.2. Need to have at least 1 peer-reviewed article as the reference and textbook as the reference3. Need in-text citation4. Please find the attachments as the power points of the course for reference.5. Textbook Information:Bowerman, B., Drougas, A. M., Duckworth, A. G., Hummel, R. M. Moniger, K. B., & Schur, P. J. (2019). Business statistics and analytics in practice (9th ed.). McGraw-HillISBN 97812601874966. Please find the Course Learning Outcome list of this course in the attachment7. Need to explain in detail and provide examples