Author(s):
Rajeev Ranjan Deo Pandey, Bipin Kumar, Manoranjan Bar, Binay Prakash Akhouri
Email(s):
binayakhouri@yahoo.in
DOI:
10.52711/0974-4150.2026.00039 
Address:
Rajeev Ranjan Deo Pandey1, Bipin Kumar2, Manoranjan Bar2, Binay Prakash Akhouri3*
1University Dept. of Physics, Ranchi University, Ranchi, India.
2Sona Devi University, Ghatsila, East Singhbhum, Jharkhand, India
3Suraj Singh Memorial College, Dept. of Physics, Ranchi University, Ranchi, India.
*Corresponding Author
Published In:
Volume - 19,
Issue - 3,
Year - 2026
ABSTRACT:
We introduce a straight forward and effective method for analyzing data through linear least squares fitting using the popular Maple program. The least squares method serves as a technique to determine the best-fit line for a specific dataset. Surface tension of n-alkanes is commonly represented as a function of temperature and can be correlated efficiently using least-squares regression. This approach streamlines data analysis and improves the accuracy of predictions. The basic problem is to find the best fit straight line y=A+B.x given that for n?{1,….N} for the observed experimental data in pairs(x_n,y_n ). Each point of data represents the relationship between a known independent variable and an unknown dependent variable. The lower standard error of the estimate indicates better fit for the model.
Cite this article:
Rajeev Ranjan Deo Pandey, Bipin Kumar, Manoranjan Bar, Binay Prakash Akhouri. Least Squares Modeling of Surface Tension of Alkanes. Asian Journal Research Chemistry.2026; 19(3):253-8. doi: 10.52711/0974-4150.2026.00039
Cite(Electronic):
Rajeev Ranjan Deo Pandey, Bipin Kumar, Manoranjan Bar, Binay Prakash Akhouri. Least Squares Modeling of Surface Tension of Alkanes. Asian Journal Research Chemistry.2026; 19(3):253-8. doi: 10.52711/0974-4150.2026.00039 Available on: https://www.ajrconline.org/AbstractView.aspx?PID=2026-19-3-11
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