<p class=\"MsoNormal\" style=\"text-align: justify;\">Entry and popularization of computers in the living world posed, that, they would revolutionize the modern day office into an improved paperless office and will helpful to create greener atmosphere. To date computers have not been successful in this matter. Infect in some cases paperwork has increased due to computers. Further use of computers has increased the power consumption. Statistical models, particularly regression models are extremely useful devices for extracting and understanding the essential features of a set of data. These models however are nearly always approximate description of more complicated processes, and because of this inexactness the study of the variation in the results of as analysis with minor modifications of the way the problem is formulated becomes important.</p>
<p class=\"MsoNormal\" style=\"text-align: justify;\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Green computing is about getting the most out of the computer while minimizing environmental effects by reduced electricity consumption and emission of toxic chemicals while minimizing the cost of production. This paper describes the general principles of green computing viz a viz methods by which power management is performed particularly during interdisciplinary sciences and opens the doors for law students and constitutional mentors for policy making.</p>
<p class=\"MsoNormal\" style=\"text-align: justify; text-indent: .5in;\">In the present research estimation and analysis of few metals in various samples of food and beverages has been carried out. The main motive &nbsp;is to propose a regression model and to find influential point in the data, for this purpose OLS ( ordinary least square) method was applied to find the regression model.</p>
<p class=\"MsoNormal\" style=\"text-align: justify;\">Y = -0.073(0.138, R) &ndash; 0.685(0.192, A)x<sub>1</sub> + 0.896 (0.161,A) x<sub>2</sub> + 0.838 (0.133, A) x<sub>3</sub></p>
 
<p class=\"MsoNormal\" style=\"text-align: justify;\">Where the bracketed values indicates standard deviations. R means rejected value as statistically nonsignificant, A means accepted value as statistically significant value. The model was described with the correlation coefficient 0.9986 and determination coefficient as 99.72 % for individual estimation of hazardous metals like lead or cadmium. Experimental values regards the interference provided by the lead during the estimation of cadmium is above the tolerance limit so we are now working for the development of interference free regression model. But the present model provide satisfactory results for individual estimations.</p>