Variable Key Display Variable Type
К оглавлению1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1617 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
51 52 53 54
• When you enter data for one-variable statistics, Xnn represents the
value and Ynn specifies the number of occurrences (frequency).
• When you enter a value for Xnn, the value for Ynn defaults to 1.
Analyzing One-Variable Statistics
To analyze one-variable statistics, select 1-V. Only values for n, v, Sx, sX,
GX, and GX2 are computed and displayed for one-variable statistics.
Analyzing Two-Variable Statistics
You can choose from among these four regression-analysis methods:
• LIN
• Ln
• EXP
• PWR
Computing Values Automatically
Except for the predicted X' and Y' values, the calculator computes and
displays values for statistics variables automatically when you access
them.
Using X' and Y' for Regression Predictions
To use the X' and Y' variables for regression predictions, you either can
enter a value for X' to compute Y' or enter a value for Y' to compute X'.
Regression Models
For two-variable data, the Statistics worksheet uses four regression
models for curve fitting and forecasting.
The calculator interprets the X value as the independent variable and the
Y value as the dependent variable.
The calculator computes the statistical results using these transformed
values:
• LIN uses X and Y.
Model Formula Restrictions
LIN Y = a + b X None
Ln Y = a + b ln(X) All X values > zero
EXP Y = a bx All Y values > zero
PWR Y = a Xb All X and Y values > zero
• Ln uses ln(X) and Y.
• EXP uses X and ln(Y).
• PWR uses ln(X) and ln(Y).
The calculator determines the values for a and b that create the line or
curve that best fits the data.
Correlation Coefficient
The calculator also determines r, the correlation coefficient, which
measures the goodness of fit of the equation with the data. Generally:
• The closer r is to 1 or -1, the better the fit.
• The closer r is to zero, the worse the fit.
Entering Statistical Data
Because the Statistics worksheet lets you enter and display up to 50 data
points, and then stores the values until you clear the worksheet or
change the values, you probably will not have to perform every step for
each Statistics calculation.
1. To select the data-entry portion of the Statistics worksheet, press &
j. X01 is displayed along with any previous value.
2. To clear the worksheet, press & z.
3. Key in a value for X01 and press !.
• For one-variable data, X01 is the first data point.
• For two-variable data, X01 is the first X value.
4. To display the Y01 variable, press #.
5. Key in a value for Y01 and press !.
• For one-variable data, you can enter the number of times the X
value occurs (frequency).
The default value is 1.
• For two-variable data, enter the first Y value.
6. To display the next X variable, press #.
7. Repeat steps 3 through 5 until you enter all of the data points.
Note: To easily scroll up or down through a range of variables, press and
hold # or ".
• When you enter data for one-variable statistics, Xnn represents the
value and Ynn specifies the number of occurrences (frequency).
• When you enter a value for Xnn, the value for Ynn defaults to 1.
Analyzing One-Variable Statistics
To analyze one-variable statistics, select 1-V. Only values for n, v, Sx, sX,
GX, and GX2 are computed and displayed for one-variable statistics.
Analyzing Two-Variable Statistics
You can choose from among these four regression-analysis methods:
• LIN
• Ln
• EXP
• PWR
Computing Values Automatically
Except for the predicted X' and Y' values, the calculator computes and
displays values for statistics variables automatically when you access
them.
Using X' and Y' for Regression Predictions
To use the X' and Y' variables for regression predictions, you either can
enter a value for X' to compute Y' or enter a value for Y' to compute X'.
Regression Models
For two-variable data, the Statistics worksheet uses four regression
models for curve fitting and forecasting.
The calculator interprets the X value as the independent variable and the
Y value as the dependent variable.
The calculator computes the statistical results using these transformed
values:
• LIN uses X and Y.
Model Formula Restrictions
LIN Y = a + b X None
Ln Y = a + b ln(X) All X values > zero
EXP Y = a bx All Y values > zero
PWR Y = a Xb All X and Y values > zero
• Ln uses ln(X) and Y.
• EXP uses X and ln(Y).
• PWR uses ln(X) and ln(Y).
The calculator determines the values for a and b that create the line or
curve that best fits the data.
Correlation Coefficient
The calculator also determines r, the correlation coefficient, which
measures the goodness of fit of the equation with the data. Generally:
• The closer r is to 1 or -1, the better the fit.
• The closer r is to zero, the worse the fit.
Entering Statistical Data
Because the Statistics worksheet lets you enter and display up to 50 data
points, and then stores the values until you clear the worksheet or
change the values, you probably will not have to perform every step for
each Statistics calculation.
1. To select the data-entry portion of the Statistics worksheet, press &
j. X01 is displayed along with any previous value.
2. To clear the worksheet, press & z.
3. Key in a value for X01 and press !.
• For one-variable data, X01 is the first data point.
• For two-variable data, X01 is the first X value.
4. To display the Y01 variable, press #.
5. Key in a value for Y01 and press !.
• For one-variable data, you can enter the number of times the X
value occurs (frequency).
The default value is 1.
• For two-variable data, enter the first Y value.
6. To display the next X variable, press #.
7. Repeat steps 3 through 5 until you enter all of the data points.
Note: To easily scroll up or down through a range of variables, press and
hold # or ".