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Saturday, November 23, 2013

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 wind 4.1: Which Is the Independent Variable? We ?nd that students be oftentimes distressed about which inconstant is self-supporting and which is dependent in a relapse model. For example, in Triple As problem, straighten out 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 obtain to a store and the distance traveled, the totals number of units change and the selling price of a product, and the cost of a estimator and the mainframe speed. Teaching Suggestion 4.2: Statistical Correlation Does not forever Mean Causality. Students should understand that a high R2 doesnt ever mean genius variable will be a good predictor of the ot her. Explain that skirt lengths and wrinkle securities industry prices may be correlated, but raising one doesnt inevitably mean the other will go up or down.
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An interesting study indicated that, over a 10-year period, the salaries of college professors were exceedingly correlated to the dollar sales volume of pelter beverages (both were in truth correlated with in?ation). Teaching Suggestion 4.3: put up students a set of selective information and have them plot of ground the data and manually draw a line with the data. A discussion of which line is best sack up help them cherish the least squares criterion. Teaching Suggestion 4.4: exact some promiscuously generated values for X and Y (you freighter use ergodic number! s from the random number add-in in Chapter 15 or use the RAND function in surmount). 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-cut essay, order it on our website: OrderEssay.net

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