complete regression analysis

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Do a complete regression analysis using data below and find each item:

a) Compute the value of the correlation coefficient.

c) Use the Critical Value (CV) from the table to determine if there is a significant linear correlation.

d) Determine the linear regression equation.

e) Find the best predicted value.          

 

**Table of Property Sizes and Their Corresponding Asking Prices**

This table represents a series of properties, showcasing their respective sizes in square feet (X) and their asking prices in thousands of dollars (Y).

| **Size (sq. ft.) X** | **1284** | **940** | **3408** | **780** | **1616** | **924** | **1593** | **650** | **1056** | **1783** |
|:---------------------:|:--------:|:-------:|:--------:|:-------:|:--------:|:-------:|:--------:|:-------:|:--------:|:--------:|
| **Asking Price Y**    | **215**  | **190** | **525**  | **175** | **342**  | **249** | **319**  | **119** | **249**  | **298**  |

**Explanation:**
- Each column pairs a property’s size with its asking price.
- For example, a property with a size of 1284 square feet has an asking price of 215 thousand dollars.
- This data can help in analyzing the relationship between the size of properties and their market values.
Transcribed Image Text:**Table of Property Sizes and Their Corresponding Asking Prices** This table represents a series of properties, showcasing their respective sizes in square feet (X) and their asking prices in thousands of dollars (Y). | **Size (sq. ft.) X** | **1284** | **940** | **3408** | **780** | **1616** | **924** | **1593** | **650** | **1056** | **1783** | |:---------------------:|:--------:|:-------:|:--------:|:-------:|:--------:|:-------:|:--------:|:-------:|:--------:|:--------:| | **Asking Price Y** | **215** | **190** | **525** | **175** | **342** | **249** | **319** | **119** | **249** | **298** | **Explanation:** - Each column pairs a property’s size with its asking price. - For example, a property with a size of 1284 square feet has an asking price of 215 thousand dollars. - This data can help in analyzing the relationship between the size of properties and their market values.
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