Owner's Manual
Table Of Contents
- Overview of Calculator Operations
- Turning On the Calculator
- Turning Off the Calculator
- Selecting 2nd Functions
- Reading the Display
- Setting Calculator Formats
- Resetting the Calculator
- Clearing Calculator Entries and Memories
- Correcting Entry Errors
- Math Operations
- Memory Operations
- Calculations Using Constants
- Last Answer Feature
- Using Worksheets: Tools for Financial Solutions
- Time-Value-of-Money and Amortization Worksheets
- TVM and Amortization Worksheet Variables
- Entering Cash Inflows and Outflows
- Generating an Amortization Schedule
- Example: Computing Basic Loan Interest
- Examples: Computing Basic Loan Payments
- Examples: Computing Value in Savings
- Example: Computing Present Value in Annuities
- Example: Computing Perpetual Annuities
- Example: Computing Present Value of Variable Cash Flows
- Example: Computing Present Value of a Lease With Residual Value
- Example: Computing Other Monthly Payments
- Example: Saving With Monthly Deposits
- Example: Computing Amount to Borrow and Down Payment
- Example: Computing Regular Deposits for a Specified Future Amount
- Example: Computing Payments and Generating an Amortization Schedule
- Example: Computing Payment, Interest, and Loan Balance After a Specified Payment
- Cash Flow Worksheet
- Bond Worksheet
- Depreciation Worksheet
- Statistics Worksheet
- Other Worksheets
- APPENDIX - Reference Information
- General Information
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.
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
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.
• 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.
Statistics Worksheet 65