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For example, in a regression on food expenditure and income, the error is correlated with income.

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## Some Related Sentences

For and example

__For__

**the**family

**is**

**the**simplest

__example__of just such

**a**unit

**,**composed of people

**,**which gives us both some immunity from

**,**

**and**

**a**way of dealing

**with**

**,**other people

**.**

__For__

__example__

**,**suppose

**a**man wearing

**a**$200 watch

**,**driving

**a**1959 Rolls Royce

**,**stops to ask

**a**man

**on**

**the**sidewalk

**,**`` What time

**is**it ''??

__For__

__example__

**,**there are persons who are

**in**physical science

**,**

**in**

**the**field of mineralogy

**,**trained

**in**crystallography

**,**who use only X-rays

**,**applying only

**the**powder technique of X-ray diffraction

**,**to clay minerals only

**,**

**and**who have spent

**the**last fifteen years concentrating

**on**

**the**montmorillonites ; ;

__For__

__example__

**,**he captured some persons from York County

**,**who

**with**teams were taking to Philadelphia

**the**furniture of

**a**man who had just been released from prison through

**the**efforts of his wife

**,**

**and**who apparently was helpless to prevent

**the**theft of his household goods

**.**

__For__

__example__

**,**even

**the**most successful executive lives

**in**

**a**two-room apartment while ordinary people rent space

**in**

**the**stairwells of office buildings

**in**which to sleep at night ; ;

__For__

__example__

**,**

**in**

**the**third chapter of Matthew

**,**verses 13-16

**,**describing

**the**baptism of Jesus

**,**

**the**1611 version reads:

__For__

__example__

**,**it probably will be necessary for

**the**Corps to have authority to pay medical expenses of volunteers

**.**

__For__

__example__

**,**

**the**importance of

**the**Regulus 2

**,**

**a**very promising aerodynamic ship-to-surface missile designed to be launched by surfaced submarines

**,**was greatly diminished by

**the**successful acceleration of

**the**much more advanced Polaris ballistic missile launched by submerged submarines

**.**

__For__

__example__

**,**

**the**interest of past members of

**the**Foundation's Advisory Board remains such that they place their knowledge

**and**judgments at our disposal much as they had done when they were

**,**formally

**,**members of that Board

**.**

__For__

__example__

**,**out of

**the**social evils of

**the**English industrial revolution came

**the**novels of Charles Dickens ; ;

__For__an

__example__let's dream up an engine that has

**a**final combustion chamber volume of 5 cubic inches

**and**

**a**cylinder volume of 45 cubic inches

**.**

__For__

__example__

**,**

**a**Browning trap version of

**the**Superposed over/under

**,**

**the**Broadway ( from $350 up

**,**depending

**on**grade )

**,**differs from standard models

**in**that it

**is**equipped

**with**

**a**full beavertail fore end

**,**

**a**cushion recoil pad

**and**

**a**barrel-wide ventilated rib for fast sighting

**.**

__For__

__example__

**,**

**the**Chamber of Commerce of Gatlinburg

**,**Tennessee

**,**sponsors special camera tours into

**the**Great Smoky Mountains to get pictures of

**the**profusion of wild flowers flourishing

**in**these wooded regions

**.**

__For__

__example__

**,**

**the**officials of Poughkeepsie town ( township ) where

**the**project

**is**located think highly of it because it simplifies their snow clearing problem

**.**

__For__

__example__

**,**don't pay

**in**

**a**truck policy for medical coverage that you may be paying for

**in**

**a**health

**and**accident policy

**.**

__For__

__example__: If your bodily injury claims start payment after

**the**first $250

**,**

**a**25% premium saving

**is**often made

**.**

For and regression

__For__

**example**

**,**

**on**

**the**basis of

**the**

__regression__equation

**,**

**a**child

**with**an I.Q. of 120

**in**this sample would be expected to earn an achievement test score of 4.8 ( grade equivalent )

**.**

__For__

**example**

**,**naive Bayes

**and**linear discriminant analysis are joint probability models

**,**whereas logistic

__regression__

**is**

**a**conditional probability model

**.**

__For__instance

**,**

**in**

**the**design of

**a**compiler

**,**

__regression__testing could track

**the**code size

**,**simulation time

**and**compilation time of

**the**test suite cases

**.**

__For__this reason

**,**given

**the**important property that

**the**

**error**mean

**is**independent of

**the**independent variables

**,**

**the**distribution of

**the**

**error**term

**is**not an important issue

**in**

__regression__analysis

**.**

__For__

**example**

**,**following

**a**run of 10 heads

**on**

**a**flip of

**a**fair coin (

**a**rare

**,**extreme event ),

__regression__to

**the**mean states that

**the**next run of heads will likely be less than 10

**,**while

**the**law of large numbers states that

**in**

**the**long term

**,**this event will likely average out

**,**

**and**

**the**average fraction of heads will tend to 1 / 2

**.**

__For__

**example**

**,**

**the**Trauma

**and**Injury Severity Score ( TRISS ), which

**is**widely used to predict mortality

**in**injured patients

**,**was originally developed by Boyd et al using logistic

__regression__

**.**

__For__

**example**

**,**logistic

__regression__might be used to predict whether

**a**patient has

**a**given disease ( e

**.**g

**.**diabetes ), based

**on**observed characteristics of

**the**patient ( age

**,**gender

**,**body mass index

**,**results of various blood tests

**,**etc .).

__For__logistic

__regression__

**,**however

**,**

**the**expected value

**and**observed value are different types of values ( continuous vs

**.**discrete ),

**and**visualizing

**the**observed value as expected value plus

**error**does not work

**.**

__For__

**example**

**,**

**in**

**a**multiple

__regression__analysis we may include several covariates of potential interest

**.**

__For__instance

**,**

**in**multiple

__regression__analysis

**,**

**the**power for detecting an effect of

**a**given size

**is**related to

**the**variance of

**the**covariate

**.**

__For__full profile tasks

**,**linear

__regression__may be appropriate

**,**for choice based tasks

**,**maximum likelihood estimation

**,**usually

**with**logistic

__regression__are typically used

**.**

The

__regression__argument makes**the**assumption that**the**justification for**a**proposition takes**the**form of another proposition: P " justifies P ', which**in**turn justifies P**.**__For__coherentism**,**justification**is****a**holistic process**.**__For__

**example**

**,**if we consider

**a**

__regression__model of wage determination

**,**wherein wages are dependent

**on**gender ( qualitative )

**and**years of education ( quantitative ):

__For__

**example**

**,**

**in**

**a**

__regression__involving determination of wages

**,**if 2 qualitative variables are considered

**,**namely

**,**gender

**and**marital status

**,**there could be an interaction between marital status

**and**gender ;

**in**

**the**sense that

**,**there will be

**a**difference

**in**wages for female-married

**and**female-unmarried

**.**

__For__

**example**

**,**if g

**is**an operation

**on**

**the**real numbers

**,**techniques of interpolation

**,**extrapolation

**,**

__regression__analysis

**,**

**and**curve fitting can be used

**.**

__For__

**example**

**,**

**a**

__regression__testing tool will record

**and**playback

**a**mouse click

**on**

**a**button

**on**

**a**web browser

**,**but

**a**load testing tool will send out hypertext

**the**web browser sends after

**the**user clicks

**the**button

**.**

__For__

**a**linear correlation

**,**

**the**best-fit procedure

**is**known as linear

__regression__

**and**

**is**guaranteed to generate

**a**correct solution

**in**

**a**finite time

**.**

__For__Lewin

**,**development ( or

__regression__) of an individual occurs when their " life space " has

**a**" boundary zone " experience

**with**external stimuli

**.**

__For__

**example**

**,**probit

__regression__for determining

**the**probability of

**a**given binary ( yes / no ) choice

**,**

**with**normally distributed priors placed over

**the**

__regression__coefficients

**,**can be implemented

**with**Gibbs sampling because it

**is**possible to add additional variables

**and**take advantage of conjugacy

**.**

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