Part 1
While traditional marketing methods are the cornerstone of any organization’s growth, creativity, and innovation, within traditional marketing is a definitive way of energizing any business offering. By being innovative and creative in its marketing efforts, an organization lends itself to being seen as dynamic, open to feedback, and always improving its offering.
In your initial post, answer the following:
· Select two forms of traditional marketing channels from the following: TV, radio, print, and outdoor.
· What is the appeal of each of your chosen channels to these target audiences? Ground your response in research and rich detail.
· Baby boomers
· Generation X
· Millennials
· Generation Z
· Based on your selection, describe one creative or innovative form of traditional marketing you have personally encountered.
· How did this creative or innovative approach influence your purchasing decision?
· Share two “top” ideas to be considered for marketing the brand connected to Milestone Two in Module Six and explain your rationale.
· Include one idea each for the following areas: consumer research and SEO.
Part 2
Data set 2 spreadsheet presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. Use Excel’s Analysis ToolPak (or any statistical package that you are comfortable with) to compute the regression equation for predicting the number of defective flash drives over time (in weeks), the correlation coefficient r and the coefficient of determination R2. Submit your statistical output from Excel, which should include values for a slope, y-intercept, regression equation, r, and R2, and a one-page Word document in which you present an analysis of your results.
Part 3
A finance manager employed by an automobile dealership believes that the number of cars sold in his local market can be predicted by the interest rate charged for a loan.
Interest Rate (%) | Number of Cars Sold (100s) |
3 | 10 |
5 | 7 |
6 | 5 |
8 | 2 |
The finance manager performed a regression analysis of the number of cars sold and interest rates using the sample of data above. Shown below is a portion of the regression output.
Regression Statistics | |
Multiple | 0.998868 |
| 0.997738 |
Coefficient | |
Intercept | 14.88462 |
Interest Rate | -1.61538 |
1. Are there factors other than interest rate charged for a loan that the finance manager should consider in predicting future car sales?
2. Is interest rate charged for a loan the most important factor to be considered in predicting future car sales? Explain your reasoning.The dealership’s vice-president of marketing has requested a sales forecast at the prevailing interest rate of 7%.
3. As finance manager, what reasons would you convey to the vice-president in recommending this forecasting model?
4. Is the prediction of car sales at 7% a reflection of the current downturn in the economy? How might this impact the dealership’s business?
