product is a bilinear form. Show that the matrix associated to this scalar product is a symmetric matrix. (4) Let V be an n-dimensional vector space. Prove that there to every non-zero linear functional φ : V → K, we there is an (n − 1)-dimensional subspace Wφ ⊂ V such that ker φ = Wφ . Show that if ψ : V → K is another linear functional such that ker ψ = ker φ, then there exists a non-zero scalar such that φ = cψ. 1
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Using AIU’s survey responses from the AIU data set, complete the following requirements in the form of a 3-page report: TEST #1: Regression Analysis- Benefits & Intrinsic Perform the following Regression Analysis, using a .05 significance level Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Copy and paste the
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Unit 5 – Regression Analysis Lakeia White American InterContinental University Abstract According to NLREG, “the goal of regression analysis is to determine the values of parameters for a function that cause the function to best fit a set of data observations that you provide.” (NLREG) As one continues to read one will find several different regression test that has been processed from AIU data set to assist them with their study on job satisfaction around the world. Introduction
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Two Sample Hypothesis Paper Hypothesis testing for Team C using the data set of Major League Baseball (Lind, Marchal, & Wathen, p 730, 2008) was chosen because of its availability of data such as major league baseball player’s salaries and wins. The team has determined a hypothesis statement, from which the research was formulated around. The team then formulated numerical charts and verbal statements regarding the issue being researched as well as performed the five-step hypothesis test
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PROBLEMS 1. Calculate three forecasts using the following data. First, for periods 4 through 10, develop the exponentially smoothed forecasts using a forecast for period 3 (F3) of 45.0 and an alpha of 0.4. Second, calculate the three-period moving-average forecast for periods 4 through 10. Third, calculate the weighted moving average for periods 4 through 10, using weights of .70, .20, and .10, with 0.70 applied to the most recent data. Calculate the mean absolute deviation (MAD) and the cumulative
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American Society of Civil Engineers (ASCE) Pipelines Conference 2005, Houston, TX Longitudinal Mechanics of Buried Thermoplastic Pipe: Analysis of PVC Pipes of Various Joint Types Shah Rahman1, Reynold K. Watkins2 ABSTRACT The analysis of longitudinal deformations compared to performance limits of deformation in buried pipes is referred to as longitudinal mechanics. Principal causes of longitudinal stress and strain within a pipe system include changes in temperature, internal pressure or vacuum
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I. Problem definition: Ms. Salinas Savings & Loan has bucked the trend of financial and liquidity problems that has plagued the industry since 1985. Ms. Salinas believes it is necessary to have a long range strategic plan for her firm including a 1 year forecast and preferably even a 5 year forecast of deposits. Objective:1.To determine what would be a successful forecasting tool for the strategic plan of Ms. Salinas.2. To compare different forecasting tool with its Pros and Cons. |
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Cars and gasoline appear to be mild complements. d. The coefficient on the price of cars (Pcars) is insignificant. e. All of the coefficients are insignificant. 2. In a cross section regression of 48 states, the following linear demand for per-capita cans of soda was found: Cans = 159.17 – 102.56 Price + 1.00 Income + 3.94Temp | |Coefficients |Standard Error |t Stat | |Intercept |159.17
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Generate A Histogram.………………….…………………………………... 22 Tutorial 3: How to Generate A Stem and Leaf Plot……………………………………………..23 Tutorial 4: How to Generate A Box Plot………………………………………………………….26 Statistical Models in SPSS……………………………………………………………………………..28 Tutorial 1: Linear Regression.……………………………………………………………………. 28 Tutorial 2: Analysis of Variance………………………………………………………………….. 31 Appendix A: Data Files………………………………………………………………………………… 34 2 Before Using This Manual The following manual explains various statistical
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Running Head: DEMAND AND FORECASTING Making Decisions Based on Demand and Forecasting [bami] strayer University] Making Decisions Based on Demand and Forecasting The demographics used for the demand analysis are the average yearly income of the house hold in Georgia, the total yearly population, and average kids per house. The rationale behind choosing these demographics is that the demand is highly associated with the average income, and
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