Linear Regression & Best Line Analysis Linear regression is used to make predictions about a single value. Linear regression involves discovering the equation for a line that most nearly fits the given data. That linear equation is then used to predict values for the data. A popular method of using the Linear Regression is to construct Linear Regression Channel lines. Developed by Gilbert Raff‚ the channel is constructed by plotting two parallel‚ middle lines above and below a Linear Regression
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[I-]x [H2O2-]y where k is the rate constant‚ x and y are the orders‚ and the rate is equal to rate [I2]/t. Once the rate law is determined‚ the activation energy can be calculated using the Arrhenius equation. By using logarithms‚ the Arrhenius equation can be converted into the following linear equation: k = Ae-Ea/RT ln k = ln A- Ea/RT slope = -Ea/R Procedures: After following the usual lab rules and wearing personal protective equipment‚ we began by measuring out our solutions. Next we prepared
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CHM1051 Chemistry CHM1051 has been designed for students who have demonstrated a strong aptitude for chemistry during secondary studies‚ eg. a VCE Chemistry Study Score >=37. On completion of this unit‚ students will have gained an understanding of how atoms and molecules interact with each other and how this affects their bonding‚ reactivity‚ 3D structure and physical properties. A number of important topics such as stoichiometry‚ intermolecular forces‚ thermodynamics‚ kinetics‚ equilibria‚
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reactant or the rate of increase of the concentration of a product. The rate law is an equation that expresses the rate of a reaction as a function of the concentration of all the species present in the overall chemical reaction at some time. The rate law is often found to be proportional to the concentration of the reactants raised to a power. For the depolymerization of diacetone alcohol the empirical rate equation is -∂x∂t=kxn[OH-]m (1) X= concentration of diacetone alcohol ‚ t=time ‚ k=rate
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Department of Electronics and Communication Engineering AU College of Engineering (Autonomous) Scheme of Instruction‚ Examination and Syllabus B.E. (Electronics and Communication) – 4 Year Degree Course Common Scheme of Instruction & Examination I/IV B.E./B.Tech (Four Year Course) – Semester System (with effect from 2006 – 2007 admitted batch onwards) First Year I & II Semesters Code No. ENG 1001 ENG 1002 ENG 1003 ENG 1004 ENG 1005 ENG 1006 ENG 1007 ENG 1008 ENG 1009 ENG 1010 ENG 1011 ENG 1012
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* 9/4/12 12.3 - crystal structures crystalline structure: possess rigid and long-range order; its atoms‚ molecules‚ or ions occupy specific positions (Exs. wax ‚ice‚ sugar‚ salt‚ diamond‚ etc.) unit cell: basic repeating structural unit of crystalline solid -there are seven types of unit cells coordination number: number of atoms surrounding an atom in a crystal lattice -higher coordination number --> more tightly packed structure 3 types of cubic unit cells: -primitive cubic (sc) c#:
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Maxwell Cohen Table of functions used in ENGR 132 Type of equations General form The plot that shows your data as linear Linear y=mx + Linear Standard graph b Y vs. X Exponential X y=bemx ln(y) =mx+ln(b) Y = mx+B semilogy mx y=b10 log(y) =mx+log(b) log(Y) vs. X Logarithmic* x=bemy ln(x) =my+ln(b) X = my+B semilogx my x=b10 log(x) =my+log(b) Y vs. log(X) Power y=bxm ln(y)=m*ln(x)+ln(b) Y = mX+B log-log log(Y) vs. log(X) *logarithmic equations with calculations done in Excel or MATLAB you will have
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Aristotle attributed the first of what could be called a scientific discussion on magnetism to Thales of Miletus‚ who lived from about 625 BC to about 545 BC.[1] Around the same time‚ in ancient India‚ the Indian surgeon‚ Sushruta‚ was the first to make use of the magnet for surgical purposes.[2] There is some evidence that the first use of magnetic materials for its properties predates this‚ J. B. Carlson suggests that the Olmec might have used hematite as a magnet earlier than 1000BC[3] [4] In
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was weighed and the mass was measured. Then we calculated the moles of the precipitate. From these calculations‚ we established moles of the limiting reactant‚ were the same amount of moles in the product based on the stoichiometrically balanced equation. Next the percent yield of the limiting reactant was calculated. In Part B of this experiment‚ two solutions were added to the aqueous product in order to determine the limiting reactant. Once each solution was added‚ we were able to visibly see
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CHM 2330 Physical Chemistry Lab Winter 2015 Manual revised 2006 by Maude Boulanger (with Prof. P. Mayer and Prof. D. Bryce) Contact information: Prof. David Bryce dbryce@uottawa.ca -1- TABLE OF CONTENTS Schedule of experiments .......................................................................................................... - 3 General Lab Information ........................................................................................................ - 4 Guidelines for Laboratory
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