The Importance of Graphs
Why
are Line Graphs Useful?
used to display data to show how one variable
(the responding variable) changes in response to another variable (the
manipulated variable).
Plotting a Line Graph (see the illustrations
on page 37)
1. Draw the axes
horizontal axis _____________________________
X axis
vertical axis |
y axis
2. Label the axes
write the name of the manipulative variable
on the X axis (horizontal axis) and the unit the measurement is in
write the name of the responding variable on the Y axis (vertical axis)
and the unit the measurement is in
3. Create a scale
mark equally-spaced intervals that cover
the range of values you will show. Both scales should begin at ZERO
the point where the two axes cross is called the origin of the graph
- coordinates of (0,0)
the coordinate is a pair of numbers used to determine the position
of a point on the graph
4. Plot the data
the point showing the location of the intersection of the measurements
meet is call a data point
5. Draw a line of "best fit"
a smooth line that reflects the gneral
pattern of a graph.
the data points yields a straght line is called a linear graph
6. Add a title
should identify the variables or relationship
shown in the graph
Why Draw a Line of Best
Fit?
data collected might have small measurement
errors and inacccuracies
line of best fit emphasizes the overall trend shown by all the data taken
as a whole.
Tips:
if the data points seem to follow along a straight line draw a straight
line
include as many data points as possible directly on the line.
for data points that don't easily fit on the line, try to have the same
number of points above the line as below the line
Slope
definition - the steepness of the graph line
slope of a graph line tells you how much "y" changes for every change in
"x".
Slope = rise - y2 - y1
run x2 - x1
if the straight line of a linear grph goes through the origin (0,0) the
graph can be expressed as the following equation
y = kx
where as X is the manipulated variable, y is the responding
variable, and constant k is the slope.
Using Graphs to Indentify
Trends
nonlinear graph - data points do not fall along a straight line
Line graphs are powerful tools in science
because they allow you to identify trends and make predictions
Linear trends
two variables are related
make predictions
Nonlinear trends
data points might fall along a curve
data points might show rises and leveling off
data points may show repeating pattern
each reveals a trend in the data
No trend
indicates no relationship between the two variables.
PLOTTING A LINE GRAPH
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