6-15
k Drawing a Regression Graph
  Use the following procedure to input paired-variable statistical data, perform a regression 
calculation using the data, and then graph the results.
  
  1. From the Main Menu, enter the  Statistics  mode.
  2. Input the data into a list, and plot the scatter diagram.
  3. Select the regression type, execute the calculation, and display the regression parameters.
  4. Draw the regression graph.
  Example  Input the two sets of data shown below and plot the data on a scatter 
diagram. Next, perform logarithmic regression on the data to display the 
regression parameters, and then draw the corresponding regression 
graph.
  
      0.5,  1.2,  2.4,  4.0,  5.2  ( x List) 
    –2.1,  0.3,  1.5,  2.0,  2.4  ( 
y List) 
  
1 m Statistics
2 a.fwb.cwc.ewewf.cwe
    -c.bwa.dwb.fwcwc.ew
    1(GRAPH) 6(SET) c1(Scatter) J1(GRAPH1)
3 1(CALC) 6( g) 2(Log)
4 6(DRAW)
  
  
    
  
  • You can perform trace on a regression graph. You cannot perform trace scroll.  
k Selecting the Regression Type
  After you graph paired-variable statistical data, you can use the function menu at the bottom of 
the display to select from a variety of different types of regression.
  
  • { ax  +  b } / { a  +  bx } / { Med } / { X
2
 } / { X
3
 } / { X
4
 } / { Log } / { ae
bx
   } / { ab
x
 } / { Power } / { Sin } / { Logistic } ... 
{linear regression ( ax + b  form)}/{linear regression ( a + bx  form)}/{Med-Med}/{quadratic 
regression}/{cubic regression}/{quartic regression}/{logarithmic regression}/{exponential 
regression ( ae  
bx 
 form)}/{exponential regression ( ab  
x 
 form)}/{power regression}/
{sinusoidal regression}/{logistic regression} calculation and graphing
  • { 2-VAR }... {paired-variable statistical results}