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that Chap l3 focuses linear regression; is hol'r'to deon After a brief review of statistics discussing terminethe "best" straightline througha setof uncertain datapointsBesides quantitativc line we also present how to calculate slopeand intercept this straight the of fbr In we ser'the and visualmethods evaluating validity of the lesults acldition, describe fbr of equations eral approaches the linearization nonlinear andmultiplelinearreglessiou of /4 begins with brief discussions polynomial fit regressirtn cubics,or higher-order Pctlynomial dealswith developinga bc'st clf parabolas which is depolynomialsThis is followed by a clescription multiple linear regression, of variable), is a linear functionof two or more signedtbr the casewhere the dependent exvariables 12, This approach specialutility for evaluating has r1, irrdependent , xtn is on of perimental of datawherethe variable interest dependent a nunlber differentfactors are we how polynomialand multiple regression After multiple regression, illustrate modelAmong otherthings,this will allow of both subsets a generullinear least-squares its statisand discuss general matrir representation ofregression a us to introduce concise Finallythe last sections Chap l4 ale del'otedtononlinearregression of tical properties to fit This approachis designedto computea least-squares of a nonlinearequaticln data interpolutionis describecl In Clnp /5, the alternativeclrrve-tittillg techniquecaTled valuesbetween previously, intermediate interpolation usedfbr estimating is As discussed We the for precise ln are datapclints Chap15,polynomials derived this purpose introduce to linesand parabolas connect of by basicconcept polynomialinterpolation usingstraight polynomillTwo procedure fitting an rrth-ordel ior points Thenwe developa generalized fbrm The first, called in fbr thesepolynomials equation fbrmatsare presentcd expressing whenthe appropriate orderof the polynopolt'nontial, preferable is Newton's interpolotirrg mial is unknown The second,called the Lagrange interpolotingpoltrutmial, has advanrvhenthe properolder is known befbrehand tages This for an Finally, Chup l6 presents alternativetechnique fitting precisedatapoints fashion to lits callecl splineirrterytolation, polynomials databut in a piecewise techniclrre, well suitedfbr fitting datathat is genelallysmoothbut exhibits As suchit is particularly is interpolation with an overviewof how piecewise The encls abruptlocalclranges chapter imolemented MATLAB in.



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Part II:

A n o l y t i c o lS o l u t i o nt o t h e B u n g e e u m p e rP r o b l e m J jumper with a massof 681kg leaps ProblemStotement A bungee liom a stationary hot air balloonUse Eq ( 19)to compute velocityfbr the first l2 s of fiee fall Also deterr-nine the terminal velocity that will be attainedfbr an infinitely long corcl(or alternatively, the jumprraster havinga particuiarly is bad dayl)Use a dragcoefticient 025kg/m of





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I MATLABG'allows d i r e c rc a l c u l a t i o n f t h e h y p c r b o l i c a n g e n v i a t h c b u i l t - i nf u n c t i o nr d n h ( r ) o t t

Automatically creating objects and joins can either be a productivity booster or a nuisance The usefulness of this process is very much dependent upon your data source and how closely aligned it is with the business terminology When the data source is a data warehouse with conformed dimensions, I find automatic join creation more helpful than automatic object creation

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External strategies are customized files that allow you to control how the data dictionary is read It can be rather tedious to implement external strategies, yet there are several oftencited reasons when you must use them: Your database uses public synonyms You want to extract column comments from your source system and use them as object descriptions You wish to import metadata from a text file Certain tables do not appear in the universe structure You also may use an external strategy to import metadata from a spreadsheet or text file External strategies appear along with the built-in strategies under each of the dropdown options for objects, joins, and tables along with the built-in strategies However, you create external strategies outside of Designer using an XML editor In version 5x, strategy files were text files All related files are stored under

According to the model, the jumper acceleratesrapidly (Fig 12) A velocity of 494214m/s (about 110mi/h) is attainedafter 10 s Note also that after a sufficiently lons

time, a constantvelocitycalled the terminol velocitt',of 516983m/s (1156mi/h) is reached This velocity is constantbecause, eventually,the force of gravity will be in balThus the net force is zero and acceleration ceased has ancewith the air resistance

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solution because exactly satisit Equation( I 9) is called an anabtical or closed-form nrodels fies the oliginal diffbrentialequationUnfortunately, tlrereare mirny matlrematical that cannotbe solved exactlyIn many of thesecases,the only alternativeis to develop a numericalsolutionthat approximates exact solution the problerr is refbrmulatedso it Nttntericalntethods thosein which the mathemirtical are This can be illustratedfor Eq ( 18) by realizingthat can be solvedby arithmeticoperations of by the time tateof change velocitycan be approximated (Fig 13):

u ( / i + r- u ( t i ) )

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