10. All of this was based on data collected regarding theQuantity and Price. Find the Correlation value (r) between theQuantity (x) and Price (y). From the original data set. Record thatvalue here.
11. Summarize your findings from the above problem. Explain whatyou see in a way that would make sense to someone who does not likemath :)
| Actual Data | | | |
| Year | Quantity | Price | Cost |
| 2015 | 6.54 | 21.5 | 63.23 |
| 2016 | 7.33 | 20.43 | 67.33 |
| 2017 | 8.12 | 20.33 | 69.55 |
| 2018 | 11.5 | 19.5 | 71.3 |
| 2019 | 10.34 | 19.66 | 70.53 |
| 2020 | 9.88 | 19.88 | 71 |
| Predicted Data | | | | |
| x | P (x) 35x+23.35 | C(x)= 23.35- 0.35x | R (x) -0.35x^2 + 23.3x | Profit(x) = 35x+23.7x-23.35 |
| 0 | 23.35 | 23.35 | 0 | -23.35 |
| 1 | 58.35 | 23 | 58.35 | 35.35 |
| 2 | 93.35 | 22.65 | 186.7 | 164.05 |
| 3 | 128.35 | 22.3 | 385.05 | 362.75 |
| 4 | 163.35 | 21.95 | 653.05 | 631.45 |
| 5 | 198.35 | 21.6 | 991.75 | 970.15 |
| 6 | 233.35 | 21.25 | 1400.1 | 1378.85 |
| 7 | 268.35 | 20.9 | 1878.45 | 1857.55 |
| 8 | 303.35 | 20.55 | 2426.8 | 2406.25 |
| 9 | 338.35 | 20.2 | 3045.15 | 3024.95 |
| 10 | 373.35 | 19.85 | 3733.5 | 3713.65 |
| 11 | 408.35 | 19.5 | 4491.85 | 4472.35 |
| 12 | 443.35 | 19.15 | 5320.2 | 5301.05 |
| 13 | 478.35 | 18.8 | 6218.55 | 6199.75 |
| 14 | 513.35 | 18.45 | 7186.9 | 7168.45 |
| 15 | 548.35 | 18.1 | 8225.25 | 8207.15 |
Many thanks for all you help in my last class.
