Chapter 1 
 
•  There are many ways that you can enter the aligned input into L1.  One method that you 
may prefer is to start over from the beginning.  Replace 
L1 with the contents of L3 by 
highlighting 
L1 and pressing  2ND  3 (L3)  ENTER .  Once again highlight the name L1 
and subtract 1900 from each number in 
L1 with  2ND  1 (L1)  −  1900. 
 
On the home screen, find the linear function for the aligned data 
by pressing 
2ND  ENTER  (ENTRY) until you see the linear 
regression instruction.  To enter this new equation in a different 
location, say 
Y3, press  ◄  and then press  VARS   ►  
[Y−VARS] 1 [Function] 3 [Y3].   Press  ENTER  and then press 
Y=  to see the function pasted in the Y3 location. 
•  To graph this equation on a scatter plot of the aligned data, first turn off the other functions 
and then return to the home screen with 
2nd  MODE  (QUIT). Press  ZOOM  9 [ZoomStat].  
 
  USING A MODEL FOR PREDICTIONS    You can use one of the methods described 
previously in this Guide (see pages 6 and 7) to evaluate the linear function at the indicated 
input value.  Remember, if you have aligned the data, the input value at which you evaluate 
the function may not be the value given in the question you are asked.  
CAUTION:  Remember that you should always use the full model, i.e., the function you 
pasted in the 
Y= list, not a rounded equation, for all computations. 
 
Using the function in Y1 (the input is the year), in Y2 (the input 
is the number of years after 1999), or in 
Y3 (the input is the 
number of years after 1900), we predict that the tax owed in 
2006 is approximately $6322. 
You can also predict the tax in 2006 using the calculator table 
(with 
ASK chosen in TBLSET) and any of the 3 models found in 
the previous section of this Guide.  As seen to the right, the 
predicted tax is approximately $6322. 
 
  NAMING AND STORING DATA You can name data (either input, output, or both) and 
store it in the calculator memory for later recall.  You may or may not want to use this feature. 
It will be helpful if you plan to use a large data set several times and do not want to reenter the 
data each time.  
To illustrate the procedure, let’s name and store the modified tax output data from Section 
1.2, page 32 of Calculus Concepts. 
 
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