International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 02 Issue: 04 | July-2015 www.irjet.net p-ISSN: 2395-0072 © 2015, IRJET.NET- All Rights Reserved Page 461 Formulation of Experimental Data Based model using SPSS (Linear Regression) for Stirrup Making Operation by Human Powered Flywheel Motor S.N. Waghmare 1 , Dr. C.N. Sakhale 2 1 Assistant Professor, Mechanical Engg. Dept.,Priyadarshini College of Engineering, Nagpur, M.S. 440019, India 2 Associate Professor, Mechanical Engg. Dept.,Priyadarshini College of Engineering, Nagpur,M.S. 440019, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The paper presents to formulate an experimental data based SPSS (linear regression analysis) model for stirrup making operation by using Human Powered flywheel motor. SPSS stands for Statistical Package for the Social Sciences and is a comprehensive system for analyzing data. The authors in their research paper published earlier have suggested the design of the experimentation for the formulation of such model. The experimentation has been carried out on a stirrup making operation by human power Flywheel motor. Mathematical models have been formulated, validated and optimized as per the suggested procedure. In this paper the SPSS (linear regression) model is formulated to generate the correct values of the output parameters corresponding to the various values of the input parameters. The regression coefficient between the observed values and the values of the response variables computed by the SPSS (linear regression) model justifies this as best fit model. The developed SPSS (linear regression) can now be used to select the best values of the various independent parameters for the designed stirrup making operation to match the features of the machine operator performing the task so as to maximize the Quantity of stirrup and minimize resistive torque. Thus the operator / worker selecting the best possible combinations of the input parameters by using this SPSS (linear regression) can now improve the number of bends for stirrup making of an experimental setup. Key Words: HPFM, SPSS (linear regression) model, stirrup, bending of rod, Optimization, statistical analysis. 1. INTRODUCTION The abbreviation SPSS stands for Statistical Package for the Social Sciences and is a comprehensive system for analyzing data. This package of programs is available for both personal and mainframe (or multi-user) computers. SPSS package consists of a set of software tools for data entry, data management, statistical analysis and presentation. SPSS integrates complex data and file management, statistical analysis and reporting functions [13]. SPSS can take data from almost any type of file and use them to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and complex statistical analyses. The theory of experimentation as suggested by Hilbert [2] is a good approach of representing the response of any phenomenon in terms of proper interaction of various inputs of the phenomenon. This approach finally establishes an experimental data based model for any phenomenon. As suggested in this article the experimentation has been carried out and the models are formulated. The concept of least-square multiple regression curves as suggested by Spiegel [2] has been used to develop the models. An entrepreneur arranging optimized inputs so as to get targeted responses. This objective is only achievable by formulation of such models. An entrepreneur of an industry or operator is always ultimately interested in arranging optimized inputs so as to get targeted responses[11]. This objective is only achievable by formulation of such models. Once models are formulated they are optimized using the optimization technique. 1.1 Overview of SPSS (linear regression analysis) Statistical Package for the Social Sciences SPSS is tool to find out the model summary in which R, R square, ANOVA, Coefficients, Residuals Statistics, histogram and normal P- P plot of regression standardised residual that gives the idea about dependent and independent terms. In SPSS software we can create neural network diagram. Features of SPSS (i) It is easy to learn and use.(ii) It includes a full range of data management system and editing tools.(iii) It provides in-depth statistical capabilities (iv) It offers complete plotting, reporting and presentation features. SPSS makes statistical analysis accessible for the casual user and convenient for the experienced user. The data editor offers a simple and efficient spreadsheet-like facility