Table 1 Summary of simple and multiple linear regression models for assessing sweet corn yield

From: Comparative Assessment of Multiple Linear Regression and Fuzzy Linear Regression Models

Explanatory variable(s) included in the model \(\widehat{{\beta_{0} }}\) \(\widehat{{\beta_{1} }}\) \(\widehat{{\beta_{2} }}\) F value (model) P value (model)
\(X_{1}\)
 Parameter estimates 14.802 − 0.183   
 Standard error 0.390 0.013 201.925 < 0.001
 P value < 0.001 < 0.001   
\(X_{2}\)
 Parameter estimates 15.475 − 0.071   
 Standard error 0.557 0.007 113.940 < 0.001
 P value < 0.001 < 0.001   
\(X_{1}\), \(X_{2}\)
 Parameter estimates 13.689 − 0.363 0.077   
 Standard error 0.493 0.057 0.024 127.174 < 0.001
 P value < 0.001 < 0.001 0.002