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16/22Linear regression is a tool to look at relationships between variables. In thesimple regression you have a dependent and independent variable. It is basedon a cause­ effect and the independent is the cause and the dependent is theeffect. The formula that is used from the regression is Y=a=bx. a= the interceptand b = the slope. You can then use this formula to predict future periods. Forexample if you have 15 periods of information for two variables and want topredict the 18th period you would input 18 in place of x. This method ispreferred to others in question 8 when you want to predict for a future monthinstead of just the next month. All the ones listed in question 8 can only predictthe next month and not future months. in order for one to assess if there is ameaningful regression relationship you would look at the R2and multiple of R.
(Post is Read)Thread:Week 6 ­ Question 2 ­ DempseyPost:RE: Week 6 ­ Question 2 ­ DempseyAuthor:Posted Date:January 27, 2016 3:35 PMStatus:Published(Post is Read)I would agree that quality is important to improving customer satisfaction andultimately could result to repeat orders and customers are willing to pay morefor a quality product which could increase the company's margin. For example,a company that I called on, Radio Engineering manufactures cameras and othertypes of technical equipment and over the years they have been able to keep upwith the technology changes and it has helped grow their business by havingrepeat orders and new customers based off their reputation for providing aquality product. The company will bring in experts and research teams toconsult on their products and services and by implementing a good strategy forquality can help improve the customer relationship.Brittany ButlerThread:Week 6 ­ Question 9Post:Week 6 ­ Question 9Author:Status:PublishedWhat is linear regression forecasting? Illustrate a calculation for this method.When would linear regression be preferred to the methods described inquestion 8? How can one assess if there is a meaningful regressionrelationship?Linda NewillPosted Date:January 25, 2016 6:10 PM
2/21/2016Collection – MBA675­T303 Operations & Logistics in the (...17/22(Post is Read)In order for the relationship to be strong it should be in the .8 or higher.Thread:Week 6 ­ Question 9Post:RE: Week 6 ­ Question 9Author:Posted Date:January 27, 2016 6:05 PMStatus:Published(Post is Read)Regression would be preferred over other models when the correlation ofdetermination is extremely high, in my opinion 0.95 or higher. This means theindependent variable directly impacts the dependent variable. There is a directcorrelation between them. If independent variable increases by 35% thedependent variable should increase by 35%. The equation is Y=a+bX where ‘a’is a constant (intersection of Y axis) and ‘b’ is the slope. Finding the linearregression equation manually is possible by using the method of least squares.