Suppose that the average monthly low temperatures for a small town are shown in the table.Month2.6789 10 11 12345Temperature (F) 19 27 38 45 57 62 65 58 51 41 33 25Model this data using f(x) - a sin(bix - c) + d. Use the sine regression feature to do this. Approximate all values to one decimal place.O aO bf(x) - 22.5sin (0.5(x+ 1.6)) + 40.7f(x) 22.5sin (0.5(x + 3.2)) + 40.7f(x) = 22.5sin (1.25(x + 1.6)) + 40.7O df(x) = 25.7sin (0.5(x + 1.6)) + 32.5

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Description: Suppose that the average monthly low temperatures for a small town are shown in the table.Month2.6789 10 11 12345Temperature (F) 19 27 38 45 57 62 65 58 51 41 33 25Model this data using f(x) - a sin(bix - c) + d. Use the sine regression feature to d

Here we use the model f(x) = a sin (b (x - c)) + d model for the given data. Now, the equation…

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Suppose that the average monthly low temperatures for a small town are shown in the table. Month 2. 3. 4567 S9 10 11 12 Temperature ("F) |19 27 38 45 57 62 65 58 51 41 33 25 Model this data using fox) -a sin(bix - c) + d. Use the sine regression feature to do this. Approximate all values to one decimal place. O a fox) - 22.5sin (0.5(x+ 1.6)) + 40.7 fox) = 22.5sin (0.5(x + 3.2)) + 40.7 %3D fox)= 22.5sin (1.25(x + 1.6)) + 40.7 fix) = 25.7sin (0.5(x + 1.6)) + 32.5

Suppose that the average monthly low temperatures for a small town are shown in the table. Month 2. 3. 4567 S9 10 11 12 Temperature ("F) |19 27 38 45 57 62 65 58 51 41 33 25 Model this data using fox) -a sin(bix - c) + d. Use the sine regression feature to do this. Approximate all values to one decimal place. O a fox) - 22.5sin (0.5(x+ 1.6)) + 40.7 fox) = 22.5sin (0.5(x + 3.2)) + 40.7 %3D fox)= 22.5sin (1.25(x + 1.6)) + 40.7 fix) = 25.7sin (0.5(x + 1.6)) + 32.5

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Question

Suppose that the average monthly low temperatures for a small town are shown in the table.
Month
2.
6789 10 11 12
3
45
Temperature (F) 19 27 38 45 57 62 65 58 51 41 33 25
Model this data using f(x) - a sin(bix - c) + d. Use the sine regression feature to do this. Approximate all values to one decimal place.
O a
O b
f(x) - 22.5sin (0.5(x+ 1.6)) + 40.7
f(x) 22.5sin (0.5(x + 3.2)) + 40.7
f(x) = 22.5sin (1.25(x + 1.6)) + 40.7
O d
f(x) = 25.7sin (0.5(x + 1.6)) + 32.5

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