Question
The following chart is data over an 8 month period that shows how much a company spent in advertising and the sales revenue for that
- The following chart is data over an 8 month period that shows how much a company spent in advertising and the sales revenue for that month
MONTH | ADVERTISING $ | SALES $ |
March | 900 | 56000 |
April | 2700 | 89200 |
May | 3150 | 98500 |
June | 1300 | 54000 |
July | 3400 | 97000 |
Aug | 1500 | 56000 |
Sept | 2300 | 93000 |
Oct | 2250 | 79000 |
I strongly suggest you use excel for this project. The calculations are accomplished much simpler, quicker, and more accurate than doing the formulas by hand.
a) What is the correlation coefficient? (round to 2 decimals) describe how you utilized excel to arrive at this number (recommended) or show the formula you utilized to arrive at this answer
b) Is it a positive or negative correlation?
- Would you say it is a strong correlation, weak correlation or no correlation? What is the indicator that lead you to that conclusion?
- What is the linear equation (y = mx + b form) that best approximates the relationship between advertising dollars spent(x) and sales revenue(y) based on the above 8 months of data? (round to 2 decimals for the slope and the y intercept) describe how you utilized excel to arrive at this equation (recommended) or show the formula you utilized to arrive at your equation
- What sales revenue would the company expect for the following advertising spending? Round to nearest cent show calculation ( a. 3000, b. 2100, c. 1300 )
-
If you were in charge of the advertising department how much would you spend on each of the next 4 months on advertising and how and why did you arrive at your decision?
Nov
Jan
Feb
March
Please give a short explanation as to how and why you came up with your advertising spending for the above 4 months.
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