1.    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

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?
c.    Would you say it is a strong correlation, weak correlation, or no correlation? What is the indicator that led you to that conclusion?

d.    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

2.    What sales revenue would the company expect for the following advertising spending? Round to nearest cent show calculation
a.    3000

b.    2100

c.    1300

3.    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? Please give a brief explanation as to how and why you came up with your advertising spending for the 4 months.
November-

January-

February-
March-