Socio-Economic Background of Households Spent on Medical Tourism


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Authors

  • Manoj Kumar Srivastava Department of Statistics, Institute of Social Sciences, Dr. B.R. Ambedkar University, Agra, Uttar Pradesh, India
  • Namita Srivastava Department of Statistics, St. John’s College, Agra, Uttar Pradesh, India
  • Sandeep NITI AAYOG, Government of India, New Delhi, India

Keywords:

Continuous variable test, excel and SPSS analysis, linear regression, statistics

Abstract

Linear regression is a factual technique for figuring the estimation of a reliant variable from an autonomous variable. Linear regression estimates the relationship between two factors. It is a demonstrating technique where a reliant variable is anticipated dependent on at least one autonomous factor. Linear regression investigation is the most generally utilized of every single factual technique. This article clarifies the essential ideas and clarifies how we can do linear regression counts in SPSS and exceed expectations. Statistics make it conceivable to examine true business issues with genuine information so you can decide whether an advertising procedure is truly working, how much an organization should charge for its items, or any of a million other reasonable inquiries. The study of statistics utilizes relapse examination, theory testing, sampling dispersions, and more to guarantee precise information investigation.

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Published

15-03-2018

How to Cite

Manoj Kumar Srivastava, Namita Srivastava, & Sandeep. (2018). Socio-Economic Background of Households Spent on Medical Tourism. International Journal of Mathematics And Its Applications, 6(1 - E), 1247–1254. Retrieved from http://ijmaa.in/index.php/ijmaa/article/view/1229

Issue

Section

Research Article