The curve traced out by taking a pencil and moving it

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Unformatted text preview: e: talk to your science faculty. 6.5 Applications of Exponential and Logarithmic Functions 389 This is all well and good, but the quadratic model appears to fit the data better, and we’ve yet to mention any scientific principle which would lead us to believe the actual spread of the flu follows any kind of power function at all. If we are to attack this data from a scientific perspective, it does seem to make sense that, at least in the early stages of the outbreak, the more people who have the flu, the faster it will spread, which leads us to proposing an uninhibited growth model. If we assume N = BeAt then, taking logs as before, we get ln(N ) = At + ln(B ). If we set X = t and Y = ln(N ), then, once again, we get Y = AX + ln(B ), a line with slope A and Y -intercept ln(B ). Plotting ln(N ) versus t and gives the following linear regression. We see the slope is a ≈ 0.202 and which corresponds to A in our model, and the y -intercept is b ≈ 5.596 which corresponds to ln(B ). We get B ≈ 269.414, so that our model is N = 269.414e0.202t . Of course, the calculator has a built-in ‘Exponential Regression’ feature which produces...
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This note was uploaded on 05/03/2013 for the course MATH Algebra taught by Professor Wong during the Fall '13 term at Chicago Academy High School.

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