f) 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 MarchPlease give a short explanation as to how and why you came up with your advertising spending for the above 4 months.
Sals = 5989:3010 dmun f) 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 there was no valve given, and,just starting to use the r= 0. 94 thes sample will from that it would be a positive uprise to spend the Jan max on the advertising buget, that spending between goo to 340 Feb MarchQR PROJECT 8 FINANCES Must show calculations/formula for credit. Any answer given with no calculations/descriptions of how arrived at answers shown will result in no credit for that answer. If utilizing excel must state/describe your formulas used and your inputs 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. The video embedded in your Canvas course provide a step by step process of how to go about it. ( works in joshhammass) nottoups 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 X MONTH ADVERTISING $ SALES $ March 900 56000 April 2700 89200 May 3150 98500 June 1300 54000 July 3400 97000 pors (d 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 arri at this number (recommended) or show the formula you utilized to arrive at this answer as ameasure the relation swired how strong between the tu correlation coeffient, is merquantuture assessmentritual me the directionis the strength to show the tendency to vary + 13 0. 9399 = Correl ( B1; B8 , CI ; Cil) b) Is it a positive or negative correlation? the correlation is a positive correlation of 0-94 if it than zero it will be positive.c) Would you say it is a strong correlation, weak correlation or no correlation? What is the indicator that lead you to that conclusion? trong correlation Rr: 09. What lead me here was that anything betweenso, 15 to 9.0 strong positive how Correlation . this is sigerand You to 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 excel formulaused - slope = CVEC8, B1 : 68) "intercept 32862, 01 execcl formula used = itcupt (CI: (s, B1:BP ) There gnitvollot em SRV/ qDE alzinovos e) What sales revenue would the company expect for the following advertising spending? Round to nearest cent show calculation Sales = 328621- 01724. 540 advertising a) 3000 a) stiles 328 62. 01 + 20.56( 3060) b) 2100 sales = 945-42, 68/60012 94542.48 c) 1300 5) sales 3286 3,01 + 20.56 (2100) Sales 710038.18 2 7638. 48 C) Salio 32862. 01 - 20.56 ( 1300) 5959. 30 f) 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 there was no valve given, and just starting to use the r= 0. 94 thes sample will fit that it would be a positive uprise to spend the Jan max on the advertising buger, that spending between . 900 to 340 ) Feb March
