Learning Outcomes:
The student will:
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independent (manipulated) variable -
The values can be freely chosen. They are plotted from the x-axis, because x comes before
y.
- In an experiment to measure the temperature of water over a 5
minute interval, the time can be freely chosen. The temperature of the water will
not affect the heating time. Heating time is independent of water
temperature.
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dependent (responding) variable -
The values rely on independent variable. They are plotted from the y-axis, because y comes
after x.
In a 5 minute experiment, the water temperature
increases as the heating time continues. The water temperature is dependent
on the amount of time it has been heated.
Experiments depend on the logic, If "the independent
variable changes", then, "dependent variable
will increase/decrease/not change".
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Continuous Variables
Variables that have continuous intervals that are
unbroken sequences (e.g. growth of a plant) are represented by line graphs.
- Heating time and water temperature represent variables which are continuous and can be
broken into smaller units (i.e. seconds and oC). Connecting data
points with a line illustrates the pattern that may have occurred between measurements.
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Discrete Variables
Discrete variables have measurements that are distinct,
periodic, and unconnected between data points (e.g. the distance an athlete throws a
discus) and are represented by bar graphs.
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trend - relationship between
two sets of data. The trend will show one of the 3 types of
relationships between variables are:
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linear (straight line)
- non-linear (curved line or other pattern)
- no relationship at all
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| scatter plot - a graph that relates data
from two different variables. line of best fit (trend line) - A line on
a scatter plot which can be drawn near the points to more clearly show the trend between
two sets of data.
outlier - a point in a sample separated from the main body of the
sample |
| Directions: Use the following to plot points on a
scatter plot. Click on the grid several times and observe what happens to the line
of best fit for a linear relationship. Click the "Clear Points" button. Click
on two points on the grid. The points will be connected by a line. See what
happens if you click on other points on the line.
Click the "Clear Points" button. Click on two points on the grid. The
points will be connected by a line. See what happens if you click on grid points
that are not on the line. These are outliers.
- Click and drag data points to change their positons.
- The value of r is the correlation coefficent. It ranges between -1 and 1.
It is part of the applet, but will not be emphasized in this lesson.
source: http://ictcm.tamu.edu/Wisconsin_2001/Scatterplot/
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Directions: Use the following to examine 3
scatterplot samples and to create your own scatterplots.
- Click the "Load Data File" button to see the first scatterplot sample.
The other samples are available from the pulldown menu. To display the sample, click
the "Load Data File" button after selecting a sample.
- Click on various spreadsheet cells and change the values.
- Click "Enter"in either cell of the last row if you wish to add additional
data.
- Click on "Update Display" to plot the points. Notice the effect the
change has on the line of best fit.
- Create your own scatterplots by entering the data points into the spreadsheet to the
left of the graph.
- The correlation coefficent ranges between -1 and 1. It is part of the applet,
but will not be emphasized in this lesson.
- The slope and intercept of the line of best fit is given, but will not be emphasized
in this lesson.
source: http://math.hws.edu/javamath/config_applets/index.html |
Consider the following scatter graph which gives a pictorial
representation of the relationship between two
variables x and y.
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There are many questions which could be asked about this
relationship:
- Is the relationship linear (straight-line) or does the scatter represent nothing more
than a random collection of points since there is no relationship??
- Does the value of y depend upon the value of x or vice versa?
- How strong is the relationship, do the points form a perfect line?

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Click Reload Page
between answers selections. |
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Olympic Gold Medal Winning High Jump (1900 -
1984)

source: quizregsol.html
In this experiment:
- what are the dependent and independent variables?
- are the variables continuous or discrete?
- is the relationship between the dependent and independent variables linear or
non-linear?
- what trend is illustrated?

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Click Reload Page
between answers selections. |
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| continuous variable - measurements are uninterrupted and connected
between data points (e.g. growth of a plant and increasing altitude) 
source: BIO 256 -
Assignment 9
In this experiment:
- what are the dependent and independent variables?
- are the variables continuous or discrete?
- is the relationship between the dependent and independent variables linear or
non-linear?
- what trend is illustrated?

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Click Reload Page
between answers selections. |
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Enrichment:
Data Applet
Scatter
Plot
Scatter Plot
Generator
Scatter Plot of CEO Salaries
Description: The data are the age and annual salary(in $thousands) of the chief
executive officer (including bonuses) for 60 small highly ranked firms.
Reference: Forbes, November 8, 1993, "America's Best Small
Companies,".
Webstat Directions:
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Look at all 3 steps before you start. When you
click on the button below, Webstat will open.
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Choose Scatter Plot from the Graphics
menu.

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Choose the following settings, then click Create
Graph!

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| The resulting scatter plot does not show a relationship between the age
and the salary of the CEO. Does that surprize you? |
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