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    system. True (Seven steps in the forecasting system‚ moderate) 6. The sales force composite forecasting method relies on salespersons’ estimates of expected sales. True (Forecasting approaches‚ easy) 7. A time-series model uses a series of past data points to make the forecast. True (Forecasting approaches‚ moderate) 8. The quarterly "make meeting" of Lexus dealers is an example of a sales force composite forecast. True (Forecasting approaches‚ easy) 9. Cycles and random variations are

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    GENERAL BIOCHEMISTRY Problem Set No. 1 Answered by: Andrea Rose A. Fajardo of BSFT 2-1N 1. Calculate the pH of a dilute solution that contains a molar ratio of potassium acetate to acetic acid (pKa=4.76) of: a. 2:1 pH = 4.76 + log[2]/[1] = 4.76 + 0.3010 = 5.06 b. 1:4 pH = 4.76 + log[1]/[4] = 4.76 + (-0.6021) = 4.16 c. 6:5 pH = 4.76 + log[6]/[5] = 4.76 + 0.0792

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    STATISTICS FOR MGT DECISIONS FINAL EXAMINATION Forecasting – Simple Linear Regression Applications Interpretation and Use of Computer Output (Results) NAME SECTION A – REGRESSION ANALYSIS AND FORECASTING 1) The management of an international hotel chain is in the process of evaluating the possible sites for a new unit on a beach resort. As part of the analysis‚ the management is interested in evaluating the relationship between the distance of a hotel from the beach and the hotel’s

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    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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    conducting your research * snowball sampling – referrals from participants * volunteer sampling – where you might advertise your study and wait for people who have read your ad to come forward to take part * how generalizable are data? * Q: are the means for our sample approximately equal to the mean from the population? * randomly selected sample because of this random factor‚ sample may not be exactly representative * sampling error * the

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    Next Generation Mobile Analytical Instruments Palm Nuclear Magnetic Resonance System (PNMR) University Research & Entrepreneurship Symposium April 1‚ 2010 Dr. Marcus Semones WaveGuide Corporation WaveGuide is an early stage mobile analytical instrument company building a suite of next generation handheld (i) infrared and (ii) nuclear magnetic resonance spectrometers for portable use in multiple untapped markets. WaveGuide’s business model: •Acquire exclusive worldwide licensing for existing

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    New Analysis Part 2 Essay: Should You Make Or Should You Buy? Outsourcing Hotel Operations Recently When an entrepreneur wants to join the hotel industry‚ he can search for a property company for a building for lease to operate his hotel rather than to build it by his capital. Nowadays‚ there are so many hotel chain do not own the buildings which contribute the hotels‚ such as Choice Hotels International company‚ which own 11 hotel brands: Comfort Inn‚ Comfort Suites‚

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    Geography and institutions in the making of the modern world income distribution”‚ Quarterly Journal of Economics 117 (4)‚ 1231-1294. [3] Albouy‚ David (2004). “The Colonial Origins of Comparative Development: An Investigation of the Settler Mortality Data”‚ unpublished paper‚ University of California‚ Berkeley. [4] Bertocchi‚ Graziella and Fabio Canova (2002). “Did Colonization Matter for Growth? An Empirical Exploration into the Historical Causes of Africa’s Underdevelopment”‚ European Economic Review

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    REGRESSION 1. Prediction Equation 2. Sample Slope SSx= ∑ x2- (∑ x)2/n SSxy= ∑ xy- ∑ x*∑ y/n 3. Sample Y Intercept 4. Coeff. Of Determination 5. Std. Error of Estimate 6. Standard Error of 0 and 1 7. Test Statistic 8. Confidence Interval of 0 and 1 9. Confidence interval for mean value of Y given x 10. Prediction interval for a randomly chosen value of Y given x 11. Coeff. of Correlation 12. Adjusted R2 13. Variance Inflation

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    APPLE INC. This research project explores the history of Apple Inc.‚ one of the best inventors of technology. In the past decade Apple Inc. has become one of the most-valuable‚ influential companies on the planet‚ because of its success with technology. In evidence‚ Apple Inc. created and sold 70 million IPhones‚ 30 million Ipads and 59 million other products. In my opinion Apple Inc. is taking over the technology industry‚ by creating the most reliable forms of technology. Although back in 1997

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