| 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
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jpcs.jpcs_18_20
|
|
|
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.
|
|
|
|
| [FULL TEXT] [PDF]* |
|
 |
|
