1.The ANOVA technique requires two pieces of information from the researcher. Describe these two pieces of information and the level of measurement associated with each. 2. Interpret the correlation coefficient for the following data:
Sales Sales Training Score
45,000 98
34,500 74
23,750 57
51,450 99
41,000 85
The resulting correlation coefficient is +.98 and the probability of insignificance is 3%.
3. A client has a data set that would be appropriate for a linear model. He wants the resulting model to predict whether or not a person would buy a particular product. The client has been advised that a multiple regression analysis would be the best approach. What would you suggest?
(Points : 25)
52. Each is weighted equally.
1. How would you respond to the following statement: “The Executive Summary might be the most important part of the research report?” 2. Compare and contrast the conclusions and recommendations portions of the research report.
3. Suppose a marketer was trying to predict the sales (Y) of a product for a given level of advertising (X1) and sales performance (X2). The resulting output was as follows:
Y = 2,300 + 34(X1) + 15.5(X2) with a R2 = .12
Given the above results, what would you suggest to the marketer?
(Points : 25)