Calculating Estimated Values - Casio FX-300ES PLUS User Manual

1N(SETUP) c3(STAT) 1(ON)
A11(STAT) 4(Var) 2( o) =
A11(STAT) 4(Var) 3( σ
Results: Mean: 3
To calculate the linear regression and logarithmic regression
3
correlation coefficients for the following paired-variable data and
determine the regression formula for the strongest correlation: (
y
) = (20, 3150), (110, 7310), (200, 8800), (290, 9310). Specify Fix
3 (three decimal places) for results.
1N(SETUP) c3(STAT) 2(OFF)
20 = 110 = 200 = 290 =ce
3150 = 7310 =8800 = 9310 =
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
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.
N2(STAT) 1(1-VAR)
1 = 2 = 3 = 4 = 5 =ce
1 = 2 = 3 = 2 =
Population Standard Deviation: 1.154700538
1N(SETUP) 6(Fix) 3
N2(STAT) 2(A + BX)
x
-value (two values,
) =
x
y
= –3857.984 + 2357.532ln
y
can be calculated for a given
x x
and
1
y
y
when
.)
3
E-24
STAT
STAT
, in the case of quadratic
2
in the regression formula.
x
= 160 in the
x
,
FIX
x
x
-value.