Creating A Number Table From Two Functions (Table) - Casio fx-82ZA PLUS User Manual

A11(STAT) 5(Reg) 3(r) =
A11(STAT) 1(Type) 4(In X)
A11(STAT) 5(Reg) 3(r) =
A11(STAT) 5(Reg) 1(A) =
A11(STAT) 5(Reg) 2(B) =
Results: Linear Regression Correlation Coefficient: 0.923
Logarithmic Regression Correlation Coefficient: 0.998
Logarithmic Regression Formula:
Calculating Estimated Values
Based on the regression formula obtained by paired-variable statistical
calculation, the estimated value of
The corresponding
regression) also can be calculated for a value of
To determine the estimate value for
4 4
regression formula produced by logarithmic regression of the data
in . Specify Fix 3 for the result. (Perform the following operation
3
after completing the operations in
A 160 11(STAT) 5(Reg) 5( n) =
Result: 8106.898
Important: Regression coefficient, correlation coefficient, and estimated
value calculations can take considerable time when there are a large number
of data items.
Creating a Number Table from Two
Functions (TABLE)
TABLE generates a number table based on one or two functions. You can
use the function
Calculator Setup" for more information.
Perform the following steps to generate a number table.
1. Press N3(TABLE) to enter the TABLE Mode.
2. Use the X variable to input two functions, one in the format
other in the format
• Be sure to input the X variable ( S)(X)) when generating a number
table. Any variable other than X is handled as a constant.
• If you are using a single function, input a function in the format
only.
• Pol and Rec cannot be input in the function.
3. In response to the prompts that appear, input the values you want to use,
pressing = after each one.
For this prompt: Input this:
Start?
End?
x
-value (two values,
f x
( ) or the two functions
g x
( ).
Input the lower limit of X (Default = 1).
Input the upper limit of X (Default = 5).
Note: Make sure that the End value is always
greater than the Start value.
y
= –3857.984 + 2357.532ln
y
can be calculated for a given
x x
and
1 2
y
y
when
.)
3
f x g
( ) and
E-20
, in the case of quadratic
in the regression formula.
x
= 160 in the
x
( ). See "Configuring the
f
(
x
x
-value.
x
) and the
f x
( )