# Power functions

** First:** There is no mathematical difference between the answers produced by these two forms. There is only a difference in the order in which the answer is written.

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The two equations represent a difference in philosophy held by different disciplines in the mathematical community.

A linear equation can be written as

*y=mx+b,*

*y=ax+b*or even

*y=a+bx*. These equations can all represent the same graphs, assuming a horizontal

*x*-axis and a vertical

*y*-axis.

In Algebra, **the equation of a line** is represented by *y = mx + b*, where *m* is the slope và *b* is the *y*-intercept. Thus, algebraists prefer khổng lồ maintain this format by using the form LinReg(*ax + b*), where *a* is the slope and *b* in the *y-*intercept.

The format *y = mx + b* is a comtháng algebraic format for the equation of a line, appearing in both high school and college texts.

In Algebra, **the standard khung of a quadratic equation **is *y* = *ax*2 + *bx + c. *

Algebraists prefer this method as it more closely follows the ** standard khung of a polynomial: *** P*(*x*) = *anxn + an*-1*xn*-1* + ... + * *a*1*x + a*0.

In Statistics, the preferred **equation of a line** is represented by *y = a + bx*, where *b* is the slope & *a* is the *y*-intercept. (The preferred form is actually *y = b*0* + b*1*x.Xem thêm: Top 10 Bài Văn Ước Mơ Làm Giáo Viên ? Tôi Ước Mơ Làm Cô Giáo*) Thus, statisticians prefer to maintain this format by using the size LinReg(

*a + bx*), where

*a*is the

*y*-intercept &

*b*is the slope. In advanced multi-variable statistics, equations "get richer" as terms are added at the right (that is, the powers increase moving lớn the right.)

In Statistics, **the standard size of a quadratic equation **is *y = a + bx + cx*2*.*

Statisticians prefer this method as it more closely follows the **general form of the regression equation: ** *y = b*0 + *b*1*x + b*2*x*2 + ... + *bnxn*.

*a*is a constant in the linear equation & in the quadratic equation).

It can be argued that there are various reasons for choosing one of these linear regression equation forms over the other. Unfortunately, it is often seen that one size is chosen lớn the "exclusion" of the other, with statements such as "DO NOT USE (the other form)". It is more important khổng lồ understand that there are alternative ways khổng lồ represent the same concepts depending upon the context in which they are used. While one khung may be "preferred", both forms are beneficial. In today"s interdisciplinary world, a more flexible attitude is needed. Students need to lớn understand that parts of linear equations are commutative (such as
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