Revised from the tutorial
by Prof. Joseph Lomax, United States Naval Academy.
Part III: An Exercise in Trendlines and Graphing
Table of Content
 First, a Warning.
 Let's Get Started.
 Here goes.
 The Significance of the Data?
 There is a Plot to this Story.
 What to do?
 Your Pocket or Graphing Calculator has it!
 The Version in Excel is a Breeze.
 Let's Do It!
 Caveat Computor
 But What Does It Mean?
 XY Pairs have a Meaningful Relationship.
 A Cause for a Celebration?
 An Additional Exercise or Two or Three
1. First, a Warning.
To do this exercise you must be sitting in front of a computer with the
application Excel running. This writeup is not intended to be a keystrokebykeystroke
or mouseclick to mouseclick instruction set. The assumption is that you
have gone through the Getting Started and
the Copy & Paste, Insert Row or Column, Formulas
tutorials that are on the Excel Tutorial Homepage.
If you have not done these, do so now. Otherwise let us proceed onward. Note:
If you wish to print out this Web file, make sure that you format your printer
to print in landscape mode!!!
2. Let's Get Started.
Keep in mind that Excel is a highly redundant system. There are at least
two ways, and maybe more, to do the same thing. Larry Wall, the inventor
of the programming language PERL, describes this redundancy as TIMTOWTDI
(There Is More Than One Way To Do It). This is pronounced .... oh, pronounce
it any way you want, because TIMTOWTDI. Your way of accomplishing a task
need not match exactly what is describe below and that is OK. The goal is
to discover the physical relationship described by the data, not to get a
notebook page and graph that match in every way what are in the images below.
3. Here goes.
Copy into the book, sheet 1 the 6pairs of xy data shown in the table below.
X 
Y 
Time 
Distance 
14.8 
9.4 
17.2 
20.0 
20.7 
25.1 
21.6 
30.1 
25.7 
41.8 
28.7 
60.6 
I will use the A and B columns for the raw data,
you can, too. Then try to generate the graph by highlighting the cells with
data for the dependant variable, Distance. Place your cursor over the set
dependant variable data cells and SELECT the Chart Wizard icon at the
top of your screen. If you need a further reminder on how to make a graph,
take this link to Exercise 7: Making a Chart (a.k.a.
Graph) in Excel from Excel Getting Started. See if you can make
your graph look as much like the image below as possible, including the text
(obviously, change the name).
If you end up with a strange looking graph, you may need to
change the graph type. To do this you need to activate the Chart Wizard
graph window and have the mouse cursor over the graph. Be sure to choose
XY,Scatter, and not Line
graph. These two graph types are not identical! Your markers for the plotted
points should be either open squares or open circles, with no lines connecting
the points. To change the marker style and remove
any connecting lines, place the mouse cursor on one of the plotted points
and click on the right mouse button. You should go to the bottom of the popup
menu to Format Data Series. You may want to explore the menus a bit
to see what is available.
4. The Significance of the Data?
This is an exercise and we don't really care about where the data came
from. But if it makes you feel better, think of it as having been gathered
by a mid timing a bug crawling along a meter stick!
5. There is a Plot to this Story.
A problem common to experimental data is that it contains some random errors
(sometimes called noise). The data you just entered has lots of noise! This
results in plots which have a certain amount of scatter. If one is trying
to fit the data to a straight line, it is not always obvious how the line
should be drawn in. Two different mids, drawing in what they consider to be
the best fit straight line through the data, could end up with significantly
different results.
6. What to do?
Fortunately, there is a mathematical function that will unambiguously determine
the best straight line through a field of data points, no matter how scattered.
This function is called Linear Regression and will be used in a number
of chemistry lab experiments. One does not need to understand how the function
works to be able to use it.
7. Your Pocket or Graphing Calculator
has it!
The linear regression function is included in just about every calculator
made,including the plebe TI92. It is quite convenient to use and some instructors
will have you use your TI92 in lab. The TI92 Guidebook has a description
of how to make a plot like we are making starting on pages 188. It breaks
down the whole process by steps, keystrokes and gives representative displays
as you go along.
There is always a snake in the Garden of Eden. It is quite
cumbersome to get a decent hard copy of your graph from TI92. With GraphLink
(an addon costing another $50, thank you) you can connect your TI92 with
your PC. Among other things, GraphLink allows you to capture the screen
of your calculator as a .tif file. A .tif file can be loaded into MS Paint
and printed from there. As stated in a previous tutorial, the beauty of spreadsheets
is their rapid and attractive formatting. The beauty of a calculator is its
portability. The best world would have a way to connect these. I am in no
offical position to tell you what to do, but with your TI92 there is a registration
card. Down towards the bottom, they ask for your comments. An appropriate
comment might be to request an interface with spreadsheets. Until we are at
that far off day when calculators speak to spreadsheets, the better way to
get a wellformatted presentation of the relationship is to use a spreadsheet.
8. The Version in Excel is a Breeze.
Excel 2000 has a linear regression function that is very easy to use. Basically
all you need to do is to tell Excel where the xvalues are, where the yvalues
are, and where in the notebook page you want Excel to print the results.
The linear regression output from Excel will be printed just to the right
of the xy datapairs, but it can be printed anywhere in the notebook.
9. Let's Do It!
To get to the Linear Regression menu activate the spreadsheet window, then
right click on the data points on the chart. SELECT Add Trendline
and under the tab labeled Type. You want a create a linear regression
so choose Linear. Then SELECT OK (see image below).
Now that you have a trendline, you need a display of the data
for that trendline. To do this, right click on the trendline and SELECT Format
Trendline. Once you are in this window SELECT the Options tab.
At the bottom, check both "display equation on chart" and "display
Rsquared value on chart". SELECT OK. Note: the data will automatically
appear over your chart. It is difficult to read the data. So, click on the
data, hold down the mouse button and move it to the rightabove the "Series1"
la bel. There, I like that! You could have put it anywhere on the chart window,
but I like it there. It is a good idea to save your file at this point
so you won't lose anything if your roommate trips over the cord that connects
your computer to the electrical outlet!
10. Caveat Computor
Excel's linear regression function will do exactly what you tell it. But
you must tell it the right things. Independent means xvalues, the
ones you plot along the horizontal axis. Dependent means y values,
the ones you plot on the vertical axis. If you screw up this convention,
you will get an extremely wrong result! No mercy here. Except for the formatting
of the numbers, your regression output should match that in the next image.
If not, check to make sure you are adhering to the conventions. One more
item, the yintercept can be forced to go through zero, or the nonzero value
can be computed. In general, you will want to do the latter and compute the
value of the yintercept. This is the default setting in the regression menu,
so you usually do not need to do anything here, unless you diddled with the
default settings.
11. But What Does It Mean?
Taking the generic equation of a straight line to be y = Ax + B ,
the A value (slope) is the 3.4097. The B value (yintercept)
is 41.972. Excel's linear regression function has given us the Rsquared
value. The closer this number is to 1, the better the fit of the line. Though
we won't be using this number that is close to 1 gives us some comfort. In
most cases, the slope will be the quantity sought for, but sometimes we will
be interested in the y or xintercept as well. The xintercept is obtained
by solving the above equation for x and setting y to zero. This gives B/A
as the xintercept.
12. XY Pairs have a Meaningful Relationship.
Now you will generate a second series of y values that correspond to the
slope and intercept that the Linear Regression function gave us. In other
words, using a few choosen xvalues, we use the equation:
y = 3.4097x + (41.97)
to calculate a second set of yvalues. These values are based
on an equation of a straight line and will give us the desired result.
Refering to the equation y=Ax+B, highlight the A
value (3.4097). Copy and paste it into cell E2. In cell D2 type "slope=".
Now highlight the intercept value (41.972). Copy and paste it into cell
G2. In cell F2 type "intercept=".
Now, using these values and the equation for a line, you can
easily predict the distance during any given time (in seconds).
In cell D4 type "distance at". And in cells E4:E6 enter
30, 40, 50 seconds respectively. In cell F4 type "seconds".
Now you are ready to calculate distances (yvalues). You need
a formula that keeps the values for slope and yintercept constant while allowing
the xvalues to change. The appropriate formula for this type of calculation
is:
=$E$2*E4+$G$2
Dollar signs are added to the addresses of the slope and intercept
to make them absolute addresses. This is done so that the copy and
paste buttons will not change them.
13. A Cause for a Celebration?
You spreadsheet should look something like the one in image above. If it
does then Congrats  You Made it! If it doesn't, and you can't figure
out what's wrong, then seek help from your instructor! In any case,
save your notebook for a final time.
14. An Additional Exercise or Two
or Three
 Modify your graph to extrapolate the straight line to the xaxis!
You will be required to do this in a future chemistry lab experiment report.
Right click on the trendline and change "PredictionBackward" until the line
hits the xaxis
 Starting with the graph in Exercise 1, extrapolate the straight line
just a little bit so that it overshoots the highest experimental xvalue by
a small amount. Adjust the xaxis and yaxis scales so that the upper end
of the straight line does not touch the graph boundaries. You may need to
use manual rather than automatic scaling to get this accomplished. This enhances
the appearance of the graph and is commonly done for publication in technical
journals!
 Suppose you mess up and interchange your x and yvalues when doing
this exercise. What is the relationship of the incorrect slope to the correct
slope? How are the incorrect x and yintercepts related to the correct x
and yintercepts?
Return to the Excel Tutorial Homepage.
This page was last revised on 24 April 2003.
If you have any problems or questions about the program,
contact David Horner.
