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Abhishek Jain

Rekha Jain

Akanksha Agrawal

Bharti Agrawal

Saurabh Jain

Vidushi Soni

Abstract

This study is an attempt to predict the intake capacities in engineering institutions across major states in India for the year 2023-25, providing valuable insights for educational planning and resource allocation. Secondary data of intake capacity of major states of India is taken from government reports, educational databases and institutional records. Correlation and Regression analysis is used to examine the relationship between intake capacity and potential determinants such as Population, Per Capita Net State Domestic Product (PCNSDP), Net State Domestic Product (NSDP), Placement in engineering, Number of Pass out students in 12th and Unemployment. Multiple regression techniques are employed to account the simultaneous influence of multiple variables on intake capacity. Based on the analysis, forecasts are generated to predict future intake capacity levels in engineering institutions for each state, taking into account the need for balanced growth. The findings serve as initial evidence to estimate intake capacity of engineering institutions in India and useful in policy making.

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