Tag Archives: Regression Analysis

Mechanical properties of Friction Stir Welded Aluminium Alloy pipes (Published)

Friction stir welding (FSW) is a relatively new welding process that may have significant advantages compared to the fusion processes as follows: joining of conventionally non-fusion weldable alloys, reduced distortion and improved mechanical properties of weldable alloys joints due to the pure solid-state joining of metals. This work presents a systematic approach to develop the mathematical model by three methods such as artificial neural networks using software, Response surface methodology (RSM) and regression Analysis for predicting the ultimate tensile strength, percentage of elongation and hardness of 6061 aluminum alloy which is widely used in automotive, aircraft and defense Industries by incorporating (FSW) friction stir welding process parameter such as tool rotational speed, welding speed and material thickness. The results obtained through regression analysis and response surface methodology were compared with those through artificial neural networks

Keywords: Aluminum pipe, Artificial Neural Network, Friction stir welding, Regression Analysis, Response surface methodology

Evaluation of the Contribution of Nigerian Stock Market on Economic Growth; Regression Approach (Published)

The paper evaluates the contribution of Nigerian Stock Market on Economic Growth. In order to achieve this, regression analysis and ordinary least square technique was employed. The result indicates a positive relationship between economic growth, all share index and market capitalization with a 99.1% R-square value and a 99%  adjusted  R-squared value implying that economic growth in Nigeria is adequately explained by the developed model. The result of this study which established positive links between the capital market and economic growth suggests that policies geared towards rapid development of the capital market should be initiated.

Keywords: All share index, Gross Domestic Product, Market Capitalization, Nigerian Stock Market, Regression Analysis, Value of Transaction, economic growth

Statistical Modeling of the Performance of First Year Evening School of Takoradi Polytechnic: Does Prior Education Level, Age at the Time of Admission, and Course Load Matter? (Published)

Students’ admission into tertiary institutions is an important issue that has generated a lot of public discussion in recent times. The pre-requisite criteria for admitting most students into regular school programmes at tertiary level in Ghana, is usually based on senior high school grades or scores. Having an in-depth knowledge about factors affecting students’ performance more especially during the first year of the Evening School is very important. Knowledge acquired in this area will help school authorities design admission programmes that will render their regular and alternative school sections such as distance and evening school programmes more sustainable. This paper reports on analysis of factors affecting the academic performance of six hundred and ten (610) first year evening school students from 2011 to 2013 academic years of Takoradi Polytechnic. Among other things, the study revealed that 25.4% of variance in evening school students’ academic performance was explained by students’ age at the time of admission, West African Senior School Certificate Examination (WASSCE) or other examination scores, and total credit hours taken during the first year. Students’ total credit hours taken during the first year, was the best predictor of students’ performance. Also, as students’ total credit hours increases, students tend to perform poorly or students perform well as total credit hours decreases. Management of the Polytechnic are encouraged to explore other factors that significantly affect students’ performance.

Keywords: Evening School, Regression Analysis, Students’ Cumulative Grade Point Average

Assessment of Farmers’ Awareness of the Economic Importance of Physic Nut (Jatropha Curcas) In Ndokwa East Local Government Area, Delta State, Nigeria (Published)

In recent time, Nigeria Government has shown great interest in Jatropha as a biofuel plants. The aim is to gradually reduce the nation’s dependence on imported gasoline, reduce environmental pollution as well as create a commercially viable industry; which is not yet publicized in the rural areas where the crop is grown. This study, thus focused on the assessment of farmers’ awareness of the economic importance of jatropha curcas in Ndokwa East Local Government Area, Delta State, Nigeria. Cross-sectional data collected for the study was achieved through the use of well structured questionnaire administered to seventy (70) farmers purposively selected from the study area. It specifically described the socio-economic characteristics of the respondents, examined farmers awareness of the economic use of the plant, identified farmers source of information on the economic importance of jatropha curcas in the study area. Descriptive statistics such as frequency distribution, percentage, mean and mode were used to analyze the socio-economic characteristics of the farmers while regression model was used to determine the relationship between the awareness of the economic importance of the crop and their socio-economic characteristics. The result showed that majority (31.43%) of the respondents were within the age range of 41-50years, , 52.86% were males, 61.43% were married, 44.30% were civil servants, 34.29% had farming experience of above 15years, 44.29% had household size of the range of 5-8 persons and 85.71% did not belong to any farmers’ associations. The result also revealed that majority(85.70%) of the respondents’ source of information was from friends and neighbours, majority (94.29%) of the respondents planted the crop for fencing their farmlands and gardens, 84.26% used it for boundary demarcation, 81.43% used it as hedges, 72.86% used it for medicinal purposes, and 70.00% used it for erosion control. The R2 (0.3618) value which is very low shows that only 36.8% of the variation in the awareness of the economic importance of Jatropha curcas was explained by the combined effects of age, sex and educational level of the farmers. The study revealed that majority (82.86%) were not aware that biofuel can be distilled from Jatropha curcas while only 17.14% were aware of this economic importance of the crop. It was therefore recommended that more enlightenment campaign about the production and economic usse of the crop be embarked upon through extension and training programmes by the State Government.

Keywords: Delta State, Economic Importance, Farmers, Jatropha Curcas, Nigeria, Regression Analysis

Analysis of Processing Cassava Tubers into Garri in Isoko North Local Government Area of Delta State, Nigeria. (Published)

Inadequate capital and lack of improved technology for cassava processing have become major challenges in the development of the agricultural sector of the Nigerian economy. This had prompted this study on the analysis of processing of cassava tubers into garri in Isoko north local government area of Delta state, Nigeria. Cross sectional data were collected using purposive and simple random sampling techniques with the aid of well-structured questionnaire for the 2012 processing season. Purposive sampling technique was used to select six towns from the study area based on their involvements in cassava processing activities. Thereafter ten (10) respondents were randomly selected from each of the towns making a total sample size of sixty (60) respondents. Data were analyzed using simple descriptive statistics such as mean, frequency distribution, percentages and inferential statistics including gross margin and regression analysis. The results showed that 95% of the respondents were females. the highest proportion (38%) of the respondents were within the age group of 50>60 years and 33% had secondary school leaving certificates, 75% of the respondents were married and 58% had household size within the range of 5>8 persons, 66% of them were into cassava processing on part-time basis, while 33% had 11 > 15 years of processing experience and 67% of them used family labour. The estimated annual total revenue was N610,000, total variable costs was N370,000 and the gross margin was N240,000 per annum per respondent which represented 64.86% of the total variable cost of production. The implication was that for every one naira invested in the processing of cassava, the farmer gained 65 kobo. The result of the regression analysis revealed that 57% of the variability of the estimated revenue per annum (Y) was being accounted for by the independent variables in the specified model. Inadequate capital and fund, lack of improved technology, inadequate processing and storage facilities, small sized enterprises with low earnings, poor markets characterized by low pricing of products were the major constraints encountered by the processors in the industry. It was therefore recommended that credit facilities should be channeled to processors through the current micro-credit scheme of the Delta State Government, Government policies should be modified to include the provision of training programme to disseminate scientific knowledge to cassava processors, the Research-Extension Farmer linkage should be strengthened to furnish the processors with modern labour saving processing techniques, Processors should form co-operative association to establish garri- added- value- centres for improved weighing and packaging methods; Government and non-governmental organizations/agencies should assist in educating the cassava processing farmers through effective extension system on improved cassava processing technology, to bring about improved production, marketing and profitability; and in doing so, improves livelihood, income and food security of the people.

Keywords: Cassava Processors, Constraints, Delta State, Gross margin, Nigeria, Regression Analysis

INPUT – OUTPUT RELATIONSHIP AND THE QUALITY OF EDUCATION IN DAY SECONDARY SCHOOLS IN KENYA (Published)

The purpose of the study was to evaluate the extent to which school inputs affect quality of education in day secondary schools in Kenya. The study was carried out in eighteen-day secondary schools in Kisumu County. The input-output relationship or Education Production Function (EPF) was used in this study. Data was analyzed using multiple and Stepwise regression analysis. SPSS Statistical Package was used to determine regression coefficients of the results. From the stepwise regression analysis, it was found that one per cent increase in instructional material supplied will improve the performance of day secondary schools in the district by 0.4827 percent, while one percent increase in laboratory equipment expenditure will improve performance by 0.2313.One percent decrease in teacher-pupil ratio was found to improve performance by 0.3357 percent, while one percent increase in student average admission score would improve the performance by 0.3650 percent. Head teacher’s qualification and experience and teacher`s qualification and experience were found to be statistically insignificant at 0.05 confidence level in a two tailed test.

Keywords: Day secondary Schools, Input- Output Relationship, Quality of Education, Regression Analysis

CROSS-BORDER MERGERS AND ACQUISITION AND INTERNATIONAL BUSINESS PERFORMANCE OF NIGERIAN MANUFACTURING FIRMS (Published)

The purpose of this study was to investigate the strategic motives for cross-border mergers and acquisitions, as well as, examines specific relationships between these strategic motives and international business performance (IBP) of Nigerian manufacturing firms that have implemented international mergers and acquisition as a strategic imperative in the past one decade. 462 senior and management staff of 13 Nigerian manufacturing companies, quoted on the Nigerian stock exchange was randomly selected from a business-to-business database maintained by a national list provider. Using the integrated conceptual framework of cross-border entry strategy by Du and Boateng (2012), factors manifesting international business performance were regressed on the strategic motives for Cross-Border Mergers and Acquisition (CBM&As). Findings based on the survey revealed that strategic motives positively affected international business performance of Nigerian manufacturing firms involved in CBM&As. Overall, the paper argue that an institution-based motive of CBM&As, in combination with transaction cost-analysis, resource-based views, and internalization views will not only help sustain a strategy tripod, but also shed significant light on the most fundamental questions confronting motives for cross-border mergers and acquisition. Hence, a model incorporating the key elements of each approach could present a more realistic and comprehensive picture of CBM&As strategies. The model also provides predictive implications on improved international business performance, given the activities of the strategic motives for CBM&As by Nigerian manufacturing firms.

Keywords: CBM&As, Cross-border Mergers and Acquisition, Institutional Theory, Internalization theory, International Business performance, Manufacturing Firms, Nigeria, Regression Analysis, Resource-Based View, Transaction Cost Analysis

SUPPLY CHAIN MANAGER COMPETENCIES AND THEIR IMPACT ON SUPPLY CHAIN INTEGRATION (Published)

The level of supply chain professionals’ competencies is a crucial factor to enhance a firm’s competitiveness. Given the limited interdisciplinary study of supply chain management and human resource management, we provide insights of how supply chain manager competencies can impact the supply chain integration of a firm. Starting by developing a list of competencies, using principle component analysis, we achieve two key competencies; namely Technical Knowledge and Application and Traits and Management Skills. Subsequently, we apply multivariate regression to reveal how the two groups of competencies and a supply chain manager’s roles and responsibilities impact differently each dimension of supply chain integration; namely internal integration, supplier integration and customer integration. At a significance level of 0.05, interpretation of regression coefficients reveals that Technical Knowledge and Application impacts internal and customer integration while Traits and Management Skills impacts internal integration. A supply chain manager’s roles and responsibilities impact only internal integration. The findings enable concerned parties to implement actions to enrich supply chain managers of today and in the future.

Keywords: Multivariate Analysis, Regression Analysis, Supply Chain Integration, Supply Chain Manager Competencies

Supply Chain Manager Competencies and Their Impact on Supply Chain Integration (Review Completed - Accepted)

The level of supply chain professionals’ competencies is a crucial factor to enhance a firm’s competitiveness. Given the limited interdisciplinary study of supply chain management and human resource management, we provide insights of how supply chain manager competencies can impact the supply chain integration of a firm. Starting by developing a list of competencies, using principle component analysis, we achieve two key competencies; namely Technical Knowledge and Application and Traits and Management Skills. Subsequently, we apply multivariate regression to reveal how the two groups of competencies and a supply chain manager’s roles and responsibilities impact differently each dimension of supply chain integration; namely internal integration, supplier integration and customer integration. At a significance level of 0.05, interpretation of regression coefficients reveals that Technical Knowledge and Application impacts internal and customer integration while Traits and Management Skills impacts internal integration. A supply chain manager’s roles and responsibilities impact only internal integration. The findings enable concerned parties to implement actions to enrich supply chain managers of today and in the future.

Keywords: Multivariate Analysis, Regression Analysis, Supply Chain Integration, Supply Chain Manager Competencies

EXPONENTIAL MODELS OF SIGNAL STRENGTH OF A TELEVISION STATION IN NIGERIA (Published)

The signals received by television viewers vary from one location to another. This now makes the measurement of signal strength of television stations to be a very important area of research to scientists and engineers. In this paper, the line of sight and signal strength of an Ultra High Frequency (UHF) television signals in a state in Nigeria were investigated. Propagation curves for the signal along different routes were plotted and regression analysis was now used to determine the exponential models which can be used to calculate signal strength for a given line of sight at the designated routes in the state

Keywords: Coverage Areas, Exponential Models, Line of Sight, Propagation Curves., Regression Analysis, Signal Strength

Factors Influencing The Internationalization Of Nigerian Manufacturing Firms:An Empirical Analysis (Published)

The purpose of this study was to investigate the Critical Decision Factors (CDF) of internationalization by Nigerian manufacturing firms, as well as, examines specific relationships between these CDF and Perceived International Business Performance Measure (PIBPM). 566 management staff of 14 Nigerian manufacturing companies, with international presence was randomly selected from a business-to-business database maintained by a national list provider. Using the integrated conceptual framework of international business strategy by Peng (2006), factors manifesting PIBPM were regressed on the CDF, manifesting successful internationalization. However, multivariate analyses was mathematically represented in a single equation, and this equation is expected to be used by Nigerian manufacturing companies in composing strategies to optimize their management of international entry decisions and international business performance. Overall, the paper argue that an institution-based view of international entry decision, in combination with transaction cost- and resource-based views, will not only help sustain a strategy tripod, but also shed significant light on the most fundamental questions confronting international entry decisions. Hence, a model incorporating the key elements of each approach could present a more realistic and comprehensive picture of international business strategies. The model also provides predictive implications on improved international business performance, given the activities of CDF manifesting successful internationalization.

Keywords: Institutional Theory, International Performance, Internationalization, Manufacturing Firms, Nigeria, Regression Analysis, Resource-Based View, Transaction Cost Analysis