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HP 30s User Manual

HP 30s
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HP 30S Statistics – Linear Regression
Linear Regression
Practice Solving Linear Regression Problems

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HP 30s Specifications

General IconGeneral
Digits10 digits
TypeScientific
Form factorPocket
Product colorBlack
Weight and Dimensions IconWeight and Dimensions
Weight135 g
Dimensions (WxDxH)81 x 155 x 14 mm

Summary

HP Calculators

HP 30S Statistics – Linear Regression Guide

Introduction to linear regression calculations on the HP 30S calculator.

Linear Regression Concepts and Formulas

Regression Line Definition

Explanation of the regression line of y on x and its formula (y = a + bx).

Correlation Coefficient Definition

Definition and formula for the correlation coefficient (r) as a measure of agreement.

Calculator Mode for Regression

Instructions for setting the HP 30S to 2-VAR STAT mode for regression.

Solving Linear Regression Problems

Example 1: Data Entry and Basic Calculation

Entering data pairs and calculating regression coefficients (a, b).

Example 2: Predicting Output Values

Using the calculator to predict y values for given x values.

Example 3: Finding Input Values

Calculating the required x input for a desired y output.

Example 4: Reversing Variables

Analyzing the impact of swapping x and y roles in regression.

Example 5: Correlation Coefficient Calculation

Calculating the correlation coefficient (r) from summary statistics.

Example 6: Determining Linear Relationships

Assessing linearity using correlation coefficient and outlier removal.

Example 7: Power Curve Fitting

Fitting a power curve (y=m*x^n) by linearizing the model.

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