Assumptions and Conditions for using Statistical Tests Bright Eugene Imo State University‚ Owerri ABSTRACT All statistical procedures have underlying assumptions‚ some more stringent than others. In some cases‚ violation of these assumptions will not change substantive research conclusions. In other cases‚ violation of assumptions will undermine meaningful research. Establishing that one’s data meet the assumptions of the procedure one is using in an expected component of all quantitatively
Premium Regression analysis Statistics Psychometrics
the Human Resources Information System (HRIS) of a company‚ called here “Engineering Solutions‚” and analyzes the drivers of potential for promotion among a sample of engineers. The methods used consist of basic statistical procedures‚ multiple regressions‚ ordered logits‚ and decompositions. The results show which variables are the main drivers of potential for promotion in this organization‚ which are minor drivers‚ and which do not matter at all. Statement of Confidentiality: This manuscript
Premium Regression analysis
The following table gives the amount of fertilizer (in pounds) used and the yield of corn (in bushels)for each of the seven acres. Fertilizer Used (x) 120 80 100 70 88 75 110 Yield of Corn(y) 138 112 129 96 119 104 134 a. Find the least squares regression line. a. Calculate r and r2 and explain what they mean. b. Predict the yield of corn if the fertilizer used is 105 pounds. c. Construct a 98% confidence interval for B. d. Test at the 5% significance level if B is different from zero. 2. The following
Premium Regression analysis Linear regression Statistics
term is negative‚ which of the following can you say with certainty? a. b. c. d. e. The BIAS will be -4.00 The BIAS will be 4.00 The BIAS will be greater than 4.00 The BIAS will be less than -4.00. Nothing can be concluded about the BIAS 5. In regression analysis‚ the _____________ tells you how much the dependent variable will increase when the independent
Premium Time series Regression analysis Forecasting
INTRODUCTION LITERATURE REVIEW The current economic crisis has become a major concern of all nations today. It has led policymakers and economists to rethink about the instrument for economics stability. One of the most damaging consequences of this crisis is the consumption instability‚ which negatively affects risk adverse agents’ welfare. As mentioned by Athahasoulis and van Wincoop (2000) as well as Pallage and Robes (2003)‚ consumption instability could have detrimental consequences for
Premium Regression analysis
between the demand of borrowers and the inabilities to meet these demands. Purpose The purpose of this paper is to analyse the liquidity risk and the impact of liquidity risk on performance of the manufacturing sector. Methodology Least square regression model is used in this study. Data of manufacturing sector is used to achieve the objective of this research paper. ROA and EPS are used as measures of liquidity risk and performance. Findings This study shows that liquidity risk has a great impact
Premium Asset Regression analysis Investment
Macaroni and Cheese Fill Targets Sampling Amore.xls Sample Uncertainty Regression 12 Hightower Department Stores: Imported Stuffed Animals Introduction to Least Squares Hightower Exhibit 5.xls Introduction to Regression 13 Problems in Regression Using Dummy Variables RegresProbSet.xls Multiple Regression and Dummy Variables 14 The Oakland A’s (A) The Oakland A’s (A) Supplement Linear Model-Building Oakland As A.xls Regression Modeling 15 American Lawbook Corporation (A) and (B) American Lawbook
Premium Decision theory Risk Regression analysis
SUBJECT: Case Problem - Starbucks Problem Statement It was November of 2001 when Starbucks first started its prepaid debit cards. This debit card can hold anywhere between $5 and $500 and can be used at any Starbucks location. In 2002‚ there was a 7% same store increase in sales and its believed that the card was the reason for the increase. Starbucks wants to be able to profile frequent visitors to a Starbucks store. The following information used in doing so includes age‚ income‚ and number
Premium Prediction Statistics Regression analysis
Abstract. Traffic related noise pollution accounts for nearly two-third of the total noise pollution in an urban area. Noise‚ a by product of urbanization‚ industrialization and motorization‚ is increasingly recognized as an environmental nuisance that effects human health and wellbeing. Traffic noise on existing urban road- ways lowers the quality of life and property values for persons residing near these urban corridors Surat is now the tenth largest city of India having an estimated population
Premium Linear regression Regression analysis City
Information Technology sector. The paper also focuses on identifying whether various factors available as per literature influence dividend payout ratio in IT sector in India in existing scenario or not. Statistical techniques of correlation and regression have been used to explore the relationship between key variables. Thus‚ the main theme of this study is to identify the various factors that influence the dividend payout policy decisions of IT firms in India. Keywords: Dividends‚ determinants‚
Premium Regression analysis Dividend Linear regression