Journal of the Practice of Cardiovascular Sciences

REVIEW ARTICLE
Year
: 2020  |  Volume : 6  |  Issue : 2  |  Page : 116--122

F-test of overall significance in regression analysis simplified


Onchiri Sureiman1, Callen Moraa Mangera2 
1 Department of Educational Planning and Management, Masinde Muliro University and Technology, Kakamega, Kenya
2 Department of Physiotherapy, The Nairobi Hospital, Nairobi, Kenya

Correspondence Address:
Mr. Onchiri Sureiman
Department of Educational Planning and Management, Masinde Muliro University and Technology, Kakamega
Kenya

Regression analysis is using the relationship between a known value and an unknown variable to estimate the unknown one. Here, an estimate of the dependent variable is made corresponding to given values of independent variables by placing the relationship between the variables in the form of a regression line. To determine how well the regression line obtained fits the given data points, F-test of overall significance is conducted. The issues involved in the F-test of overall significance are many and mathematics involved is rigorous, especially when more than two variables are involved. This study describes in details how the test can be conducted and finally gives the simplified approach of test using an online calculator.


How to cite this article:
Sureiman O, Mangera CM. F-test of overall significance in regression analysis simplified.J Pract Cardiovasc Sci 2020;6:116-122


How to cite this URL:
Sureiman O, Mangera CM. F-test of overall significance in regression analysis simplified. J Pract Cardiovasc Sci [serial online] 2020 [cited 2023 Jun 4 ];6:116-122
Available from: https://www.j-pcs.org/article.asp?issn=2395-5414;year=2020;volume=6;issue=2;spage=116;epage=122;aulast=Sureiman;type=0