Linear regression and Linear relationship: Difference between pages

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imported>Doug Williamson
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1. ''Statistics - financial statistics.''
A straight line relationship.


A statistical technique which aims to establish whether a linear relationship exists between one quantity and another.
The forecast or other dependent variable changes as the independent variable changes, by a constant fixed proportion.




2.  ''Forecasting - cash flow forecasting.''
==See also==
 
* [[Inverse relationship]]
Applying such a linear relationship for forecasting.
* [[Negative linear relationship]]
 
* [[Positive linear relationship]]
 
* [[Slope]]
:<span style="color:#4B0082">'''''Data quality is paramount'''''</span>
 
:"While [cash flow forecast] automation is important, data quality is also paramount to success.
 
:When building the forecast, each line item may be sourced in different ways...
 
:For example, many treasury teams prefer to import accounts payable data directly from the enterprise resource planning system, while for receivables information they may wish to extrapolate historical data and model using a linear regression."
 
:''The Treasurer magazine, August 2019, p25 - Bob Stark, Vice president Strategy at Kyriba.''
 
 
== See also ==
* [[Cash flow forecast]]
* [[Cash management]]
* [[Correlation]]
* [[Enterprise resource planning]]
* [[Extrapolation]]
* [[Forecast]]
* [[Linear]]
* [[Model]]
* [[Payables]]
* [[Receivables]]
* [[Regression analysis]]
* [[Statistics]]


[[Category:The_business_context]]
[[Category:The_business_context]]
[[Category:Identify_and_assess_risks]]
[[Category:Manage_risks]]
[[Category:Risk_frameworks]]
[[Category:Risk_reporting]]
[[Category:Cash_management]]
[[Category:Liquidity_management]]
[[Category:Technology]]

Revision as of 22:38, 13 July 2022

A straight line relationship.

The forecast or other dependent variable changes as the independent variable changes, by a constant fixed proportion.


See also