problem and use it to solve for x1‚ x2‚ x3 and λ. This will give us four linear equations in four unknowns and we can use matrix algebra to find the solution. Alternatively‚ we can use the solver to compute the solution numerically (i.e. not using a formula). To use the solver to solve for the portfolio weights such that the resulting portfolio variance is minimized and the portfolio weights sum to 1 you would set up a simple spreadsheet as follows: Portfolio weights x1 0.2 x2 0.3 x3 0.5 Constraint
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NORTHCENTRAL UNIVERSITY ASSIGNMENT COVER SHEET Student: ODEDOYIN ABEL THIS FORM MUST BE COMPLETELY FILLED IN Follow these procedures: If requested by your instructor‚ please include an assignment cover sheet. This will become the first page of your assignment. In addition‚ your assignment header should include your last name‚ first initial‚ course code‚ dash‚ and assignment number. This should be left justified‚ with the page number right justified. For example: Student: ODEDOYIN A MGT
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209 | 0.209 | 0.211 | 0.209667 | Slope | intercept | | 0.075556 | 0.012889 | | 0.000497 | 0.00015 |
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necessitated the discussion of the sample regression function (SRF). We then considered the question of how we actually go about obtaining the SRF. Here we discussed the popular method of ordinary least squares (OLS) and presented the appropriate formulas to estimate the parameters of the PRF. We illustrated the OLS method with a fully worked-out numerical example as well as with several practical examples. Our next task is to find out how good the SRF obtained by OLS is as an estimator of the true
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model used explains some of the variability of the response data around the mean. The least- squares regression line that was fitted to the graph somewhat fits the data. the y-intercept is -65.3004 meaning when x=0 the y= -65.3044 which is (minutes very active). also meaning at -65.3044 minutes I burned 0 calories. The slope is 7.4075 meaning as x increases (calories burned) the amount of time increases by 7.4075 minutes. minutes sed
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greater than zero‚ upward sloping. This is scale dependent. Sample Correlation This is scale independent: between -1 and 1‚ close to 1 is upward‚ 0 is central‚ -1 is downward sloping. Finding the regression Regression formula with one regressor Slope Intercept Finding R2 TSS=ESS+SSR The Coefficient of Determination = R2 This gives the total fit of ‚ between 0 (chance) and 1 (perfect prediction) Standard Errors Standard Error of the Regression Standard error of
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Experiment N | Kinetics of the Depolymerization of Diacetone Alcohol via Basic Catalysis | | Ingrid Tafur -5672578 | 2/11/2011 | CHM233O Partner: Laura Marrongelli Demonstrator: Cheryl McDowall Objective The rate constant of the depolymerization of diacetone alcohol via basic catalysis was determined by monitoring the change in volume as a function of time at constant temperature of a pseudo first order reaction where the species in excess was sodium hydroxide. This was accomplished
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the same activity of the unknown solution) and obtaining a set of E-values for these standards -A graph is then plotted from the corresponding E-values vs. the logarithm of the concentration of Cl-. Once all the data points have been plotted‚ the slope of the line is determined (found by using a least squares
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SECURITY ANALYSIS AND POR TFOLIO MANAGEMENT LESSON 6: MEASUREMENT & EVALUATION OF RISK How does we Measure Risk? Understanding the nature of the risk is not adequate unless the investor or analyst is capable of expressing it in some quantitative terms. Expressing the risk of a stock in quantitative terms makes it comparable with other stocks. Measurement cannot be assures of percent accuracy because risk is caused by numerous factors as discussed above. Measurement provides an approximate
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Submitted By: Ma. Karla Rachelle Ulibas Student Submitted To: Mr. Ray-ann Buenafe Instructor HISTORY OF TRIGONOMETRIC FUNCTIONS Trigonometric functions seem to have had their origins with the Greek’s investigation of the indirect measurement of distances and angles in the “celestial sphere”. (The ancient Egyptians had used some elementary geometry to build the pyramids and remeasure lands flooded by the Nile‚ but neither they nor the ancient Babylonians had developed the concept of
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