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Reading Time: 6 min
Last Updated: June 22, 2026
Main Ideas: 5
Reading Time: 6 min
Last Updated: June 22, 2026
Main Ideas: 5

Topic 1.3 Notes – Rates of Change in Linear and Quadratic Functions

Verified for 2027 AP® Precalculus Exam
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Average rate of change tells you how fast a function changes over an interval, not at a single point. In this topic, that idea becomes the main way to tell linear and quadratic behavior apart, and it also connects to secant lines, tables, sequences, and concavity.

Average rate of change

For a function ff, the average rate of change on [a,b][a,b] is

f(b)−f(a)b−a \frac{f(b)-f(a)}{b-a}

This is output change divided by input change. It works on any interval, and the interval does not have to start at 0.

On a graph, this is the slope of the secant line through (a,f(a))(a,f(a)) and (b,f(b))(b,f(b)).

A quick example with f(x)=x2f(x)=x^2 on [1,3][1,3]:

f(3)−f(1)3−1=9−12=4 \frac{f(3)-f(1)}{3-1}=\frac{9-1}{2}=4

That means the output increased by an average of 4 units for each 1 unit of input over that interval.

This also works for sequences. If a sequence is unu_n, then from index ii to jj,

uj−uij−i \frac{u_j-u_i}{j-i}

For consecutive terms, that becomes un+1−unu_{n+1}-u_n, which is the first difference.

From different representations:

  • Table: use the two rows with inputs aa and bb
  • Graph: read or estimate the endpoint coordinates
  • Context: include units, like “feet per second” or “dollars per hour”

Rate patterns for linear and quadratic functions

This is the big comparison you need to know.

Linear functions

If L(x)=mx+cL(x)=mx+c, then the average rate of change over any interval is always mm.

  • Every secant line has the same slope as the graph itself
  • Over equal-length intervals, the average rates stay constant
  • The change in those average rates is 00

Example with L(x)=2x−5L(x)=2x-5:

L(7)−L(1)7−1=9−(−3)6=2 \frac{L(7)-L(1)}{7-1}=\frac{9-(-3)}{6}=2

You would get 2 on every interval. A constant function is the special case m=0m=0.

Quadratic functions

If q(x)=Ax2+Bx+Cq(x)=Ax^2+Bx+C, the average rate depends on the interval.

Over [a,b][a,b],

q(b)−q(a)b−a=A(a+b)+B \frac{q(b)-q(a)}{b-a}=A(a+b)+B

For a fixed interval length hh,

Rh(x)=q(x+h)−q(x)h=2Ax+Ah+B R_h(x)=\frac{q(x+h)-q(x)}{h}=2Ax+Ah+B

That matters because Rh(x)R_h(x) is linear in xx. So for equal-length intervals, the average rates of change follow a linear pattern.

  • consecutive equal-length intervals change by 2Ah2Ah
  • per 1-unit increase in interval location, the rates change by 2A2A
  • for unit intervals, consecutive average rates differ by 2A2A

In the graph below, the unit-interval average rates for q(x)=x2q(x)=x^2 are −3-3, −1-1, 11, and 33. They increase by 2 each time, which matches 2A2A when A=1A=1.

How to find and compare rates

When you calculate one, the moves are always the same:

  1. Pick the interval endpoints
  2. Find the two outputs
  3. Subtract outputs
  4. Subtract inputs
  5. Divide
  6. Interpret the sign and units

For sequences, if the index step is 1, use the first difference.

If table inputs are equally spaced by hh, then

average rate=first output differenceh \text{average rate}=\frac{\text{first output difference}}{h}

When comparing several intervals, check that they have the same length before deciding whether the pattern looks linear or quadratic.

Keep these three ideas separate, because AP questions love mixing them up:

  • the average rate
  • the change from one average rate to the next
  • the rate at which the average rates are changing

Concavity and what changing rates mean

Concavity is about whether the rates are increasing or decreasing.

  • If average rates over equal small intervals are increasing, the graph is concave up
  • If they are decreasing, the graph is concave down

For quadratics, the sign of AA tells you everything:

  • A>0A>0 →\rightarrow concave up
  • A<0A<0 →\rightarrow concave down

Linear functions have constant average rates, so their change in rate is zero.

One common trap: a function can be decreasing while concave up, or increasing while concave down. Concavity is not about whether the function values rise or fall. It’s about what the rates are doing.

Common mistakes and fast checks

  • Using f(b)−f(a)f(b)-f(a) alone as the rate. You still need to divide by b−ab-a.
  • Mixing up a secant slope with a tangent-line idea. This topic is interval-based.
  • Comparing intervals of different lengths as if the pattern should still match.
  • Saying quadratics have constant average rate. They do not. Their changes in average rate are constant.
  • Saying a zero average rate means the function stayed constant. It only means the endpoints have equal outputs.
  • Assuming bigger yy-values mean bigger rates.
  • Forgetting units, especially for the “rate of the rates” like meters per second per second.

Key Takeaways

Average rate of change on [a,b][a,b] is f(b)−f(a)b−a\frac{f(b)-f(a)}{b-a}, and it is the slope of the secant line through the endpoints.
For a linear function L(x)=mx+cL(x)=mx+c, every average rate of change is mm.
For a quadratic q(x)=Ax2+Bx+Cq(x)=Ax^2+Bx+C, average rates are not constant, but over equal-length intervals they follow a linear pattern.
For unit-length intervals in a quadratic, consecutive average rates differ by 2A2A.
A zero average rate only tells you f(a)=f(b)f(a)=f(b), not that the function stayed flat in between.
Concavity depends on whether rates are increasing or decreasing, not whether the function itself is increasing or decreasing.

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Notes

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