Quantitive Method

REVISED M04_REND6289_10_IM_C04.QXD 5/7/08 2:49 PM pageboy 46 C H A P T E R Regression Models 4 15 9 40 20 25 25 15 35 6 4 16 6 13 9 10 16 TEACHING SUGGESTIONS teaching proposition 4.1: Which Is the Independent Variable? We ?nd that students argon oftentimes at sea about which inconstant is autarkical and which is dependent in a reverse model. For example, in Triple As problem, brighten which variable is X and which is Y. Emphasize that the dependent variable (Y ) is what we are trying to predict based on the care for of the independent (X) variable. Use examples such as the time essential to propose to a store and the distance traveled, the totals number of units change and the interchange price of a product, and the cost of a estimator and the central processing unit speed. Teaching Suggestion 4.2: Statistical Correlation Does not eternally Mean Causality. Students should understand that a high R2 doesnt always mean genius variable will be a good pred ictor of the other. Explain that skirt lengths and wrinkle grocery prices whitethorn be correlated, but raising one doesnt inevitably mean the other will go up or down.

An interesting study indicated that, over a 10-year period, the salaries of college professors were passing correlated to the dollar sales volume of pelter beverages (both were in reality correlated with in?ation). Teaching Suggestion 4.3: put up students a set of selective information and have them fleck the data and manually draw a line through with(predicate) the data. A discussion of which line is best sack up help them cherish the least squares criterion. Teaching Suggestion 4.4: carry some promiscuously ge nerated values for X and Y (you abide use ! ergodic numbers from the random number gameboard in Chapter 15 or use the RAND function in outstrip). Develop a regression line using Excel and discuss the coef?cient of finale and the F-test. Students will see that a regression line can always be developed, but it may not necessarily be useful. Teaching Suggestion 4.5: A discussion of the longsighted formulas and short-cut formulas...If you want to get a wide-eyed essay, order it on our website: OrderEssay.net

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