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Regression Analysis

The least square regression line refers to the equation of the line of best fit for the variables under investigation in a regression analysis. Te equation exists in the form of, were and are constants, (Y-hat) is the predicted value of the dependent...

Pages: 7 (1750 words)
, Assignment
, Law

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Regression Analysis

GNP per head (US $) also explains a significant proportion of variance in the cars per head, 2 = .80, F1, 28) = 111. Te slope of the regression equation suggest that each US $ increase in GNP per head adds an average of 0.00005 cars...

Pages: 4 (1000 words)
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REGRESSION ANALYSIS

Thus response variable, Y= FTSE 100 index; eplanatory variables are X1= BARC. Lstock price; 2 = HSBA. Lstock price; 3 = LLOY. Lstock price, 4 = NWBD. Lstock price, ad X5 = STAN. Lstock price. Te goal of this study is to build a linear...

Pages: 12 (3000 words)
, Coursework
, Finance & Accounting

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Regression analysis for marketing decision making

Iterative estimation is mostly used to achieve non-linear regression. Pedicting future marketing trends is business is an essential requirement for the management if they have to beat the competition. Tis is because a lot of the data is available for use by business nowadays due...

Pages: 8 (2000 words)
, Research Paper
, Statistics

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Regression Analysis - Statistics Case Study

For assessing the association or relationship between days to collect and size of the bill as well as the regression analysis to for the account status was carried out in SPSS version 10. t a certain level then the distribution becomes binomial with bell shape...

Pages: 10 (2500 words)
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A industry or a Market Regression Analysis

To be precise, te automotive industry in German has for a very long time remained competitive in the market. Oer the years, tere has been a surge in the labor force that has sometimes affected the companies in the automotive industry in terms of competition....

Regression Analysis

In terms of motor vehicle theft the trend which changed n the 1990’from one of an increase in rate per thousand changed to a decline. Tis trend is still continuing (Alfred Blumstein and Richard Rosenfeld 2008; 18). Te theft of motor vehicles has been associated...

Pages: 8 (2000 words)
, Research Paper
, Macro & Microeconomics

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Quantitative Methods in Economics : Regression Analysis case study

In this case, w are interested with the jobs taken by the person and the factors that directly influence the nature of the work. Tese factors are; mchanics, stisfaction, priod of time the job is taken; yars the person has been in work, ad difficult...

Pages: 5 (1250 words)
, Case Study
, Management

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Regression Modeling and Analysis

Identifying the direction of relationship or causation establishes the dependent and independent variables. Wen there is only one independent variable the relationship of that variable with the dependent variable is said to be linear and the regression conducted to identify the numerical connection between the...

Pages: 7 (1750 words)
, Term Paper

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A regression analysis updating the study by Barro and Sala I Martin of income convergence across states

To Norton, Ods, Oive and Craig (1996), te growth of nominal personal income per capital and the growth of real personal income per capital is highly significant as the time changes. I racquet, gowth of nominal personal income per capital and the growth of real...

Pages: 12 (3000 words)
, Statistics Project
, Statistics

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A regression analysis updating the study by Barro and Sala I Martin of income convergence across states

Olds, Oive and Craig (1996), te growth of nominal personal income per capital and the growth of real personal income per capital are highly significant as the time changes. Many researchers have devoted on the topic about the relationship between the growths of nominal personal...

Pages: 12 (3000 words)
, Statistics Project
, Statistics

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Multi line regression

With regards to coefficients above, i is evident that when oil prices and technical product prices are held constant, te amount of exports will increase by 6.94, wen car prices, ad technical product prices are held constant, ten exports will increase by 4.27 and lastly,...

Pages: 5 (1250 words)
, Statistics Project
, Statistics

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Describing data statistically: Association, regression, and correlation

If relationship exists, ten the data is considered significant up to the extent that it can be misleading since it is usually considered as the direct cause of something else. Oe of the most common statistical tools used in defining relationship between variables is regression...

Pages: 5 (1250 words)
, Assignment

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Statistical Analysis of Pig Growth Rates in Vietnam

TT-stats for the three variables are respectively -3.55, -3.82, and 7.27 which indicate statistical significance of all three variables in predicting Day 21 average weight. These three variables: birth weight, litter mortality, and farm of origin were proven to be statistically significant in predicting the...

Pages: 5 (1250 words)
, Article
, Human Resources

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The Null and the Alternative Hypothesis of Regression

This model may be interpreted in the following manner: Grade in high school Algebra is predicted to increase by 2.475 for every hour of increase in exposure to technology in school. When there is no exposure to technology in school, the grade in Algebra is...

Pages: 4 (1000 words)
, Assignment
, Education

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Quantitative data analysis and logistic/ supply chain management decision making

Engineering techniques have eased means of communication and increased efficiency of managerial units through provision of customized hardware that respond to managerial needs. Eually, mthematical and statistical techniques provide both predictability and accountability in the management of supply chains. Tese two attributes are important for...

Pages: 11 (2750 words)
, Assignment
, Professional

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Regression and Statistical Effects

Besides this, te researcher also attempts to draw broad conclusions regarding the direction of relation between the profits and time by using Pearson’s correlation coefficient, ad charts depicting the behaviors of the 2 groups. Te small correlation coefficient (0.175 for Cohort 1 and 0.219 for...

Pages: 5 (1250 words)
, Assignment

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Financial data analysis

The trend displays an increase in prices during February followed by a decrease in the prices throughout the remaining part of the year as displayed in the above figure. Fom the above correlation coefficient, i is evident that there is a strong positive correlation given...

Pages: 4 (1000 words)
, Essay

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Data Analysis for Managers

The following is a summary of regression analysis output for the relationship between the demand for tanker orders vehicles and the other factors. Tst was done at 0.05 % level of significance. Te following tables summarize the regression analysis results for demand for tanker fleet...

Pages: 4 (1000 words)
, Essay

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Determinants of capital structure

The equation can be represented as follows: Dbt to Capital: Tis gearing measure is the ratio between the total debts to capital. Te capital in the denominator represents the total debt plus the equity, wich includes the preference shares as well (equation 5) (Rose and...

Pages: 20 (5000 words)
, Essay
, Finance & Accounting

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Data Analysis (geography)

Again, te measure of skewness indicates the presence of a tail. Te value is 2.011, wich is greater than 1. Terefore we realize this section of our data violates the assumptions for normality. Fom this table we can conclude that the tests for normality are...

Pages: 8 (2000 words)
, Coursework
, Statistics

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Economic mathematics

The coefficients of the multiple regression 3, 4 and 5 are partial coefficients. Tis means they give the change in the value of the dependent variable (Yi) per unit change in the respective independent variable provided the other independent variables remain constant. Fr example 3...

Pages: 8 (2000 words)
, Essay

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Multiple Flavors of the General Linear Model

For an organizational researcher the main topic of interest has been the way in which the human resources within the firm are being utilized to gain the competitive edge in the market. I addition to this it has been seen that the level of the...

Pages: 7 (1750 words)
, Assignment
, Social science

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Data Analysis (geography)

Again, te measure of skewness indicates the presence of a tail. Te value is 2.011, wich is greater than 1. Terefore we realize this section of our data violates the assumptions for normality. Fom this table we can conclude that the tests for normality are...

Pages: 8 (2000 words)
, Coursework
, Statistics

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The Prescott High School Regression

For the individual variables and shapes of the histograms suggest symmetry towards a normal distribution, wth slight deviations and therefore support the hypothesis of a relationship between students’ college GPA and high school GPA, ttal SAT score, ad quality of a student’s recommendation letter. Te...

Pages: 3 (750 words)
, Case Study
, Education

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Correlation / Regression tools

For instance if there are 2 variables x as well as y, wth the data taking the form of n pairs, ten algebraically; [1, 1], [2, 2], [3, 3]… [Xn, y], te following equation can then give the correlation coefficient; Wereby; xis usually the mean...

Pages: 4 (1000 words)
, Case Study
, Statistics

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The Recession on International Trade in the United Kingdom

The regression equation: Y =a +b X + e, Where : ‘a’ is a constant denoting the intercept of the curve, ’b’ is the slope or gradient of the curve which is taken as the regression coefficient and the values of ‘Y’ and ‘X’ representing...

BEC5011 Analysing the Global Economy

Consumer surplus is realised when the customer is willing to pay more than the market price of a particular product or service. Cnsumer surplus is can be of great use when evaluating the effect of government intervention in a market. Cmparative advantage: tis principle states...

Pages: 5 (1250 words)
, Assignment
, Business

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Statistical coursework

In this study, w will check if the errors of the dependent variables and independent variables are normally distributed by making the checks. Fom the above histogram, te variables; mrket return and individual market return are normally distributed. Te variable market return has outliers and...

Pages: 6 (1500 words)
, Coursework
, Statistics

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WEEK 2 APLLICATION 1

Among these variables, te injury rate was taken as the dependent variable while the level of risk and hours worked was taken as the independent variables. Te aim of the study is to find out the relationship between injury rate on the one hand and...

Wk5 Final Paper

Successful elite careers are normally related to high social satisfaction and recognition of an elite career that is based on a set of self referenced criteria, wich normally entails perceived potential in relation to perceived athletic career cost and the level of achievements ( Lundqvist...

Pages: 4 (1000 words)
, Essay
, Statistics

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Statistics/Analysis - Descriptive and Inferential Presentation

The coefficient of variation for the dependent and explanatory variables were also computed manually, t allow for comparisons across the variables. Te coefficient of variation (vc) expresses the standard deviation as a proportion of the mean, o the quotient between the standard deviation (s) and...

Pages: 5 (1250 words)
, Essay

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Strategic and Financial Decision-making

SBRY and EXPN, bth the companies were listed in the LSE on July 11, 1975 and on October 26, 2006 respectively and the stocks of these companies are currently traded at the rate £323.78 and £600 respectively (London Stock Exchange. I order to calculate...

Pages: 8 (2000 words)
, Essay

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FI305 beta project for CAT

The values of Mean, SDV, ad CORREL illustrate that both means (CAT, SP) are close to each other, SP 500 returns are more compact than CAT returns, ad movement of CAT and S&P 500 is in the positive direction with strong correlation. Fgure 1 illustrates...

Pages: 4 (1000 words)
, Case Study
, Finance & Accounting

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Employee Commitment on Workplace Quality

We were able to test the significant relationship that connects the line of employee commitment and firm performance. According to Wright et al. (2001), there is a significant role that human resource activities played on the competitive advantage of the firm and in particular the...

Pages: 18 (4500 words)
, Coursework
, Human Resources

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Investigating the Relationship between Changes in Weight Loss and Triglyceride Level

Trimmed means (the practice of a chosen percentage of the values) were also close to the average values. Tese show that the data are clustered close together, hnce the similar median, aerages and trimmed means for the measured parameters. A eight weeks after treatment, te...

Pages: 4 (1000 words)
, Essay

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Data analysis using SAS Immigration in NYC

Data used in this evaluation reflect the variables assessed including: eonomic changes, ppulation changes, ad the dependent variable, uemployment rate. All the variables have complete data sets. Bfore analysis, dscriptive statistics was developed to establish the distribution of the data. Tese included establishment of the...

Pages: 4 (1000 words)
, Statistics Project
, Statistics

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Stat Report

The average driving accuracy of the top 150 players in PGA tours in year 2008 was about 63.23 and vary from the mean by about 5. Te distribution of the driving accuracy is approximately normal (Skew = -0. Te average GIR of the top 150...

Pages: 4 (1000 words)
, Coursework
, Statistics

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Write a report to the Directors of PK Mart

In order to offer profit sharing scheme to its employees the organization is required to have an approximate 15. 6 profit margin and 13.79 percent of ROCE. Te firms operating in the industry had an average size of 4984, 027 percent of market share, 22.12...

Pages: 8 (2000 words)
, Research Paper
, Finance & Accounting

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Business modelling

This methodology assists administrators to predict and get ready for additional demands that are likely to arise in the futureRegression analysis is also a quite cheaper method as data are easily collected and usually can be gathered from other earlier source. Frthermore, idependent variable data...

Pages: 8 (2000 words)
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The dataset available on Study Direct contains annual sales data and other characteristics of 400 Dutch fashion stores in 1990. The following variables appear in the data set:

The scatterplot in Figure 2 shows that the correlation is positive, ad not strong. The value of “r” is calculated using CORREL =( nfull Array, sles Array) = 0. The value of t-stat (df=399, r= 0. Te value of t-critical (df = 399, p= 0.05)...

Pages: 8 (2000 words)
, Essay
, Statistics

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Decision Analysis

Variables are used in decision analysis to represent value or symbol of the actual attribute being determined. Avariable denoted by Y may represent the cost estimates, oerheads, rvenues etc. Asimple linear regression model is a statistical technique that explores the inter-relations between two or more...

Statistical Coursework

We selected five companies from each of these sectors (UK Stock Challenge n. d The Telegraph n. Te original CAPM formula, Eri)= rf + β(rm – rf) is rearranged for the time regression analysis in the form of (rit-rft) = α + β(rm, t–...

Pages: 6 (1500 words)
, Coursework
, Finance & Accounting

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The dataset available on Study Direct contains annual sales data and other characteristics of 400 Dutch fashion stores in 1990

For predicting sales per square metre (dependent variable) using the independent variables total number of hours worked and floor space of the store. Te results of the regression analysis are presented in table 2. Te regression model (estimated equation) is given by: Te coefficient of...

Pages: 8 (2000 words)
, Essay
, Statistics

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The Econometric Model for the Statistics of Economy

The chosen model is a causal model with one dependent variable and two independent variables. The independent variables influence the dependent variable. The causal model could be based on an individual causal effect of the independent variables or the average causal effect of the independent...

Pages: 10 (2500 words)
, Essay
, Macro & Microeconomics

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Quantity survey assignment 2

There was significant relationship between depression and being victim of violence within the prison or not, 2(1, N= 98) = 36. Te prisoners who were victim of violence within the prison were depressed about 36.11 times more than the prisoners who were not victim of...

Pages: 8 (2000 words)
, Essay

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Week 3 Discussion Questions and Participation Questions

The slope tells us how inclined is the regression line. A application that managers can use is forecasting its sales. Te manager would have to input the sales of the company for multiple past periods such as ten years. Oce the data is input into...

Pages: 4 (1000 words)
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Real Estate Sales Forecasting Regression Model

The housing industry in USA is on rapid growth to capture the new and the raising opportunities (Saleem et al, 2011). Terefore, tis paper focuses on the most common factors that influence the selling prices of the houses in USA. Aain, te above-listed research questions...

Pages: 4 (1000 words)
, Statistics Project
, Statistics

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Generating forecasts

With the discounts, te customers will take advantage of the price reductions. Aprice reduction will normally trigger a higher demand for the stores’ products and services (Johnson, 2010). Te above table 2 shows the summary of the statistical findings’ regression analysis for the ten weeks....

Pages: 8 (2000 words)
, Essay
, Statistics

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Financial data analysis

According to Ott and Longnecker (2010), crrelation coefficient range from +1 to -1 depending on the strength and direction of the relationship existing between the variables in question. I this case, te correlation coefficient is 0.95 indicating a strong positive correlation between the prices of...

Pages: 4 (1000 words)
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