Table 1 Multiple linear regression coefficients and covariance matrix for the absolute monthly change in discrimination index and retinal thickness.

From: Retinal inner nuclear layer thickness in the diagnosis of cognitive impairment explored using a C57BL/6J mouse model

Multiple linear regression coefficients

Layer

Regression coefficient

P-value

VIF

r2 with other variables

Intercept

0.0266

0.5417

–

–

NFL-GCL-IPL

− 0.0072

0.8030

1.225

0.1839

INL

0.0982

0.0123*

1.186

0.1565

ONL

0.0171

0.3333

1.053

0.0504

Parameter covariance correlation matrix

 

β0

β1

β2

β3

β0

1.0000

   

β1

0.2150

1.0000

  

β2

0.6273

0.3774

1.0000

 

β3

0.3934

− 0.1859

0.0465

1.0000

  1. Statistical analysis was carried out using GraphPad Prism 9.3.0 software. Data were analyzed by multiple linear regression. VIF: variance inflation factor. *p < 0.05; **p < 0.01. β denotes the coefficients of variables in the multiple linear regression equation. β0: intercept, β1: NFL-GCL-IPL, β2: INL, β3: ONL. Values in the correlation matrix represent regression coefficients between variables.
Back to article page