Applied Mathematics for Science
CoreData analysis: reading graphs

Reading & Analyzing Graphs (Trends, Correlation vs Causation)

Read the axes and scale first, describe the trend, and tell what a graph implies apart from what it actually proves.

Why this matters

A graph is a claim in picture form, and reading it wrong can send you down the wrong path. Before you trust any trend you have to read the axes, the units, and the scale, because a line that looks steep can be a tiny change on a stretched axis. Once you can read the picture, you describe the trend (rising, falling, a plateau, a peak), you interpolate between measured points and extrapolate carefully past them, and you read the slope as a rate of change. The last step is the one that separates careful people from careless ones: a correlation (two things moving together) does not prove that one caused the other. Epidemiologists live on this distinction when they study disease and risk, biostatisticians and clinical-trial analysts use it to decide whether a treatment truly worked, and data journalists use it to avoid printing a scary headline that the data never supported. Learn to read what a graph implies separately from what it proves, and you stop being fooled by pictures.

Standards this builds
  • Common Core · HSS-ID.B.6Represent data on two quantitative variables on a scatter plot and describe how the variables are related, including the overall trend.
  • Common Core · HSS-ID.C.9Distinguish between correlation and causation when interpreting how two variables are related.
  • Ohio · Ohio HS S.ID.6Interpret relationships between two quantitative variables from a plot, describing the direction and shape of the trend.
  • NGSS · SEP-4Analyzing and Interpreting Data: read graphs and identify patterns, trends, and relationships, including where a correlation does not establish cause.
  • AP · AP Bio SP 4 (Analyze Data)Analyze and interpret data presented in graphs and tables, describing trends and evaluating whether the data support a causal claim.
Builds on (2 levels back)inferred · high confidence
  • Read a point (x, y) on a coordinate grid: You cannot describe a trend until you can find what value a single point stands for on both axes.
  • Understand slope as rise over run: Slope is how the trend is measured as a rate of change, so students need rise over run before reading steepness.
  • Identify axis labels, units, and scale: Every reading depends on knowing what each axis measures and how big each step is.

Prerequisites are inferred: pending teacher review.

Re-learn the skill with worked practice and clear examples.

With the axes read, describe the trend in plain words (rising, falling, plateau, peak), then interpolate a value between two measured points using the slope of the line that connects them. Error bars remind you that each point has some wiggle room, so read the pattern, not one dot.

Step 1: Name the trend
Scan the whole graph left to right. Is it going up (rising), down (falling), flattening out (a plateau), or rising to a high point then falling (a peak)? Say the overall shape before you talk about any single point.
Four small graphs showing a rising line, a falling line, a line that levels into a plateau, and a line that rises to a peak then falls
Step 2: Interpolate between points
To find a value between two measured points, follow the line that joins them. If the graph shows (4, 20) and (6, 28), the value at x = 5 sits halfway between 20 and 28, which is 24. That estimate between known points is interpolation.
Step 3: Respect error bars
Little I-shaped bars on a point show the range the true value could fall in. If two points' error bars overlap a lot, the difference between them may not be real. Read the overall trend, and do not over-trust a single dot that could wiggle.
Practice

A fever chart shows the temperature rising for the first three days, then staying nearly the same for the next four days. How is this trend best described?

Reviewed
  1. A.Falling the whole time
  2. B.A single peak then a sharp drop
  3. C.Rising, then a plateau
  4. D.No trend; the data are random
Show the worked solution ▾

Answer: C. Rising, then a plateau

  1. Step 1: Describe the first part: Temperature going up over the first three days is a rising trend.
  2. Step 2: Describe the second part: Staying nearly the same afterward is a plateau, so overall it is rising then a plateau.

Why it's right: The values go up first (rising) and then level off (a plateau), which is exactly 'rising, then a plateau'.

Why the others miss:
  • A: The values rise at the start, so it is not falling the whole time.
  • B: The values level off rather than dropping sharply, so it is not a peak then a drop.
  • D: There is a clear pattern, so the data are not random.

Aligned to NGSS SEP-4: describe a trend · reading level ~grade 9

Using the scatter plot, the bacteria count was 20 (in millions/mL) at hour 4 and 28 at hour 6. Estimate the count at hour 5 by interpolating along the line.

Reviewed
A scatter plot line through (4, 20) and (6, 28) with a red marker at hour 5 to be read
  1. A.22
  2. B.24
  3. C.26
  4. D.48
Show the worked solution ▾

Answer: B. 24

  1. Step 1: Find the halfway point: Hour 5 is exactly between hour 4 and hour 6, so read halfway up the line.
  2. Step 2: Average the two counts: Halfway between 20 and 28 is (20 + 28) / 2 = 24.

Why it's right: Interpolating along the straight line, the value at hour 5 is halfway between 20 and 28, which is 24.

Why the others miss:
  • A: This is only 2 above 20, not the midpoint between 20 and 28.
  • C: This is 2 below 28, not the midpoint between the two values.
  • D: This adds the two counts instead of averaging them.

Aligned to Common Core HSS-ID.B.6: interpolate from a plot · reading level ~grade 9

Two drugs are tested and each result point is drawn with an error bar. Drug A's point sits a little higher than Drug B's, but their error bars overlap almost completely. What is the safest thing to say?

Reviewed
  1. A.Drug A is definitely stronger than Drug B
  2. B.Drug B is stronger because its point is lower
  3. C.Error bars prove there is no difference at all
  4. D.The overlap means we cannot be sure the two really differ
Show the worked solution ▾

Answer: D. The overlap means we cannot be sure the two really differ

  1. Step 1: Read what an error bar means: An error bar shows the range the true value could fall in, not one exact number.
  2. Step 2: Judge the overlap: When two error bars overlap heavily, the real values could be equal, so a small gap between the dots may not be a real difference.

Why it's right: Heavily overlapping error bars mean the true values could be the same, so you cannot be sure the two drugs truly differ.

Why the others miss:
  • A: A small gap with overlapping error bars does not make a difference 'definite'.
  • B: The same overlap that blocks 'A is stronger' also blocks 'B is stronger'.
  • C: Overlap raises doubt about a difference; it does not prove they are identical.

Aligned to AP Bio SP 4: interpret variability from error bars · reading level ~grade 9

Where you'd see this
  • A nurse reports a patient's oxygen trend as 'falling, then a plateau' instead of quoting one noisy reading.
  • A student interpolates the reaction rate at a temperature between two tested points to fill a gap in the data.
  • A researcher decides two treatment means are not clearly different because their error bars overlap.
Video library
Watch: axes, scale, and reading trends
Functions and Graphs | Precalculus
The Organic Chemistry Tutor · 15:03
Extension: why correlation is not causation
Correlation Doesn't Equal Causation: Crash Course Statistics #8
CrashCourse · 12:18
Watch: describing trends and error bars
Practice 4 - Analyzing and Interpreting Data
Bozeman Science · 7:23
Guided notes

Fill these in as you work through the lesson.

Big idea: Read the axes, units, and scale first, then describe the trend and slope, and always separate what a graph implies (a correlation) from what it proves (a cause).
Key terms: write the meaning
  • Trend (the overall direction: rising, falling, plateau, or peak):  
  • Interpolate (estimate between two measured points):  
  • Slope (rise over run, a rate of change):  
  • Correlation vs causation (moving together is not proof of cause):  
The rule

First read the   and the units and scale, then name the  ; two things moving together is a  , which does not by itself   that one caused the other.

Check yourself
  1. Why can the same data look flat or steep depending on where the y-axis starts? 
  2. Given points (4, 20) and (6, 28), how do you interpolate the value at hour 5? 
  3. Name one reason a strong correlation still might not mean one thing caused the other. 
Work one example

A line passes through (0, 10) and (4, 30). Rise = 30 - 10 = 20, run = 4 - 0 = 4, so slope = 20 / ____ = 5 per hour, meaning y grows by 5 for each hour.

 
Illustrated glossary

The vocabulary of this topic, shown in the way you will meet it.

Axis
One of the two number lines on a graph; the x-axis runs across and the y-axis runs up and down, each with its own quantity and unit.
A blank graph with the horizontal x-axis labeled Time (hours) and the vertical y-axis labeled Cells per mL
In context: Before reading the trend, a lab student checks that the x-axis is 'Time (hours)' and the y-axis is 'Cell count (cells/mL)', so the picture actually answers the question.
Scale
How much each step on an axis stands for; the same data can look flat or steep depending on how the scale is stretched or squeezed.
The same small rise drawn twice: nearly flat when the y-axis starts at 0, and steep when the y-axis starts at 90
In context: A data journalist notices the y-axis scale starts at 90 instead of 0, which makes a two-point change look like a cliff, so the 'trend' is mostly the scale.
Trend
The overall direction the data moves: rising, falling, leveling off (a plateau), or reaching a high point (a peak).
In context: Looking at a fever chart, a nurse reports the trend as 'rising for three days, then a plateau', instead of reacting to one bumpy reading.
Interpolate
Estimate a value between two points you actually measured, reading along the line or trend between them.
In context: The team measured growth at 4 hours and 6 hours, so to guess the value at 5 hours they interpolate between the two known points.
Extrapolate
Estimate a value beyond the points you measured by extending the trend; it is less certain because the pattern may not hold out there.
In context: A researcher can extrapolate next week's tumor size from this month's line, but flags it as a prediction, not a measurement.
Correlation vs causation
Correlation means two things move together; causation means one actually makes the other happen. A correlation alone does not prove causation.
Ice cream sales and drownings move together, but a red hidden cause, hot weather, points to both
In context: Ice cream sales and drowning both rise in summer (a correlation), but ice cream does not cause drowning; hot weather drives both, so it is not causation.