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    Linear Regression

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    A. DETERMINE IF BLOOD FLOW CAN PREDICT ARTIRIAL OXYGEN. 1. Always start with scatter plot to see if the data is linear (i.e. if the relationship between y and x is linear). Next perform residual analysis and test for violation of assumptions. (Let y = arterial oxygen and x = blood flow). twoway (scatter y x) (lfit y x) regress y x rvpplot x 2. Since regression diagnostics failed‚ we transform our data. Ratio transformation was used to generate the dependent variable and reciprocal transformation

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    Programming Language

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    Announcements and Demos (0:00-10:00) • This is CS50. • Check out what is possible in the programming language called Scratch that we will begin the course with! Scratch will enable you to wrap your mind around the fundamental constructs of programming while making a cool game or animation. • Be sure to check out the second annual CS50 Puzzle Day this Saturday! Thanks to Facebook for sponsoring! • CS50 is all about getting you through CS50. We want you to make it to the final days and gain that

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    Clearly‚ based on above explanation‚ Robert Citron’s investment strategy seemed not difficult to understand. It was a leveraged bet that the interest rates would remain stable or fall. Thus‚ this strategy had been profitable in the years prior to 1994 as the interest rates fell. However‚ when interest rates reversed its direction in early 1994‚ Citron’s strategy and fortuned became worse. First thing is the decline of interest rate gave a huge impact in municipal bonds across the country‚ with

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    Computer Programming

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    Sum=i+ odd; Hanly‚ Chapter 8‚ Programming (pp. 396-397)‚ number 1 1. #include<stdio.h> Int main <void> Int list{11}; Int n‚ I‚ sum; Double %_of_total; { Printf(“please enter values\n”) Scanf(“%d”‚&n) For(i=0‚i<=n‚++i) Sum=n/10; %_of_total = sum; Printf(“The%d is the %_of_total %d\n”‚ n‚ %_of_total); Return (0); } Hanly‚ Chapter 8‚ Self-Check Exercises (p. 410)‚ numbers 3-4 3.return (int‚ 1= I <=in_use‚ 0= I =in_use); 4.for(i=0‚ i<=data‚ ++i) Hanly‚ Chapter 8‚ Programming (p. 410)‚ numbers 1‚ 3 1. Int

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    Linear algebra

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    5 5 5 Compute: ATB(3 marks) tr (AB)(1 mark) (e) Determine if (2‚ -1) is in the set generated by = (3‚ 1)‚ (2‚ 2) (5 marks) Question Two (20 marks) Let T: R2 R2 be defined by T(x‚ y) = (x + y‚ x). Show that T is a linear transformation.(7 marks) Find the basis and dimension of the row space of the matrix.(6 marks) 2 -1 3 A= 1 1 5 -1 2 2 Compute A-1 using row reduction method.(7 marks) 1 4 3 A= -1 -2 0 2

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    ABSTRACT Marketing strategy affects by four factors such as product‚ place‚ price and promotion. The corporation needs to know what customer’s demands are. For example‚ a dairy firm should begin business by finding out what nutrition customers prefer through segment criteria. What ages of clients drink milk mostly? Do elder people use dairy products every day? Which flavor are they interested in? Next the company aims target market and observes the changes of customer’s attitude during buying process

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    Object-oriented Programming/Event-Driven Programming versus Procedural Programming Professor Computer Program Design Object-oriented Programming/Event-Driven Programming versus Procedural Programming There are many advantages of using Object-oriented Programming (OOP) over Procedural Programming (PP). When using inheritance‚ you can develop new classes more quickly by extending existing classes that already work; you need to concentrate only on new features added by the new class.

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    Java Programming

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    8 6.2 Arrays (Cont.) • Index – Also called subscript – Position number in square brackets – Must be positive integer or integer expression – First element has index zero a = 5; b = 6; c[ a + b ] += 2; • Adds 2 to c[ 11 ] 9 Common Programming Error 6.1 Using a value of type long as an array index results in a compilation error. An index must be an int value or a value

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    Investment

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    FNCE30001 Investments Semester 2‚ 2011 Introduction and L1: Risk Aversion and Capital Allocation Subject Administration Issues See the Study Guide on LMS for details! Lectures given in two streams: Wednesdays‚ 12:00pm - 2:00pm (The Spot‚ Basement Theatre) Fridays‚ 10:00am - 12:00pm (The Spot‚ Basement Theatre) First five lectures (on stocks) given by Dr Joachim Inkmann Consultation time: Fridays‚ 1:00pm – 3:00pm Remaining six lectures (on bonds) given by Professor Rob Brown Consultation

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    Linear Acceleration

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    Uniform linear acceleration Introduction This topic is about particles which move in a straight line and accelerate uniformly.  Problems can vary enormously‚ so you have to have your wits about you.  Problems can be broken down into three main categories: Constant uniform acceleration Time-speed graphs Problems involving two particles Constant uniform acceleration Remember what the following variables represent:  t = the time ;  a = the acceleration ; u = the initial speed ; v = the final

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