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Transforming nonlinear data | More on regression | AP Statistics | Khan Academy 

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Use logarithms to transform nonlinear data into a linear relationship so we can use least-squares regression methods.
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AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics.
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12 сен 2024

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Комментарии : 14   
@migz6395
@migz6395 6 лет назад
It becomes a line because when you put an exponential function inside its inverse (logarithms) function, the functions sort of cancels out each other and just leaves a simple linear function y = x f(x) = a^x f^(-1)(x) = log(x) y = f^(-1)(f(x)) y = x
@Methylimidazol
@Methylimidazol 6 лет назад
Logarithmic scaling is one of the most important thing in an engineer's everyday life. However, from the title I was expecting a way of fitting data that is not linear in a linear, logarithmic or double-logarithmic plot. A general transformation if you like. I'm sure that's possible.
@deb1717
@deb1717 6 лет назад
So like Linearization??
@reskianto3553
@reskianto3553 Год назад
why we must transforming y to log(y)?
@SerratedMouth
@SerratedMouth 6 лет назад
Sal, your a great person.
@Xenos_AR
@Xenos_AR 6 лет назад
How to un-wind it?
@Dyslexic-Artist-Theory-on-Time
Great work!!!
@seasonedpeasons4952
@seasonedpeasons4952 16 дней назад
could you instead exponentiate x?
@davidsweeney111
@davidsweeney111 6 лет назад
I love doing log(y)
@Daro2023
@Daro2023 7 месяцев назад
amazing!
@joemmya
@joemmya 10 месяцев назад
😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍, Just beautifully said
@greis790
@greis790 6 лет назад
In which playlist-course this video belongs?
@MdAbdullahAlMuyid_nowho
@MdAbdullahAlMuyid_nowho 6 лет назад
www.khanacademy.org/math/ap-statistics/inference-slope-linear-regression/transformations-for-linearity/v/transforming-nonlinear-data
@4m0d
@4m0d 2 года назад
why does it happen
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