User Manual

6-11
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 STAT
2 a.fwb.cwc.ewewf.cwe
-c.bwa.dwb.fwcwc.ew
1(GRPH) 6(SET) c1(Scat) J1(GPH1)
3 1(CALC) 6( g) 2(Log)
4 6(DRAW)
• You can perform trace on a regression graph. You cannot perform trace scroll.
• Input a positive integer for frequency data. Other types of values (decimals, etc.) cause an
error.
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 } / { Pwr } / { Sin } / { Lgst } ...
{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
• { 2VAR }... {paired-variable statistical results}
k Displaying Regression Calculation Results
Whenever you perform a regression calculation, the regression formula parameter (such as a
and b in the linear regression y = ax + b ) calculation results appear on the display. You can use
these to obtain statistical calculation results.
Regression parameters are calculated as soon as you press a function key to select a
regression type, while a graph is on the display.
The following parameters are used by linear regression, logarithmic regression, exponential
regression, and power regression.
r ..............correlation coefficient
r
2
.............coefficient of determination
MSe .........mean square error