Casio CLASSWIZ CG Software User's Manual page 69

Using cell range A1:A5 as data
Frequency of all data values: 1
Important!
• The values contained in the cell range used as the frequency data should be 0 or positive values only.
Even a single negative value causes an error (Out of Domain).
• Statistical data with a frequency of 0 is not used for calculation of minimum and maximum values.
Displaying Summary Statistics or Regression Model Information
You can use the procedure below to find and display various summary statistics from 1-Variable or 2-Variable
statistical data. This procedure can also be used to display regression equation coefficients and coefficients
of determination (referred to as "regression model information" in this manual) when regression models are
applied to 2-Variable statistical data.
To display summary statistics or regression model information
1. Input the statistical data to use in the calculation.
• For details, see "Inputting Data" (page
2. Select the range of cells into which you input statistical calculation data.
• You could skip this step and go to step 3, below.
3. Press >.
• If this causes the Select Type menu to appear, go to step 5 of this procedure. Otherwise, go to step 4.
4. Highlight the first line of the Setup tab and then press O.
5. Select [Calculate Summary Statistics].
• This causes the Calculate Statistics menu to appear on the
Setup tab.
6. Highlight line 2 on the tab and then press O.
7. On the menu that appears, select the type of statistical calculation you want to perform.
To do this:
Display summary statistics based on 1-Variable statistical data
(X)
Display summary statistics based on 2-Variable statistical data
(X, Y)
Display regression model information based on 2-Variable
statistical data (X, Y)
(Select the desired regression model from the menu.)
Using cell range A1:A5 as data
Using cell range B1:B5 as frequencies
68).
69
Select this menu item:
1-Variable
2-Variable
Linear Regression(a x +b)
Linear Regression(a+b x )
Med-Med Regression
Quadratic Regression
Cubic Regression