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Table 1 Summary of multiple regression model results of (βATP + PCr)/iP vs. SWI CNR values

From: Relationship between brain iron deposition and mitochondrial dysfunction in idiopathic Parkinson’s disease

Analysis of variance SS DF MS F p-value  
Regression 48.79 4 12.20 F(4,57) = 41.39 P < .0001****  
SWI: putamen (CNR) 15.46 1 15.46 F(1,57) = 52.46 P < .0001****  
SWI: caudate (CNR) 2.00 1 2.00 F(1,57) = 6.78 P = .0117*  
SWI: globus pallidus (CNR) 2.98 1 2.98 F(1,57) = 10.10 P = .0024**  
SWI: thalamus (CNR) 0.79 1 0.79 F(1,57) = 2.68 P = .1074  
Residual 16.80 57 0.29    
Total 65.58 61     
Parameter Estimates Variable Estimate SE 95% CI T p-value
β0 Intercept 1.36 0.31 0.74; 1.98 4.39 P < .0001****
β1 SWI: putamen (CNR) 4.44 0.61 3.21; 5,67 7.24 P < .0001****
β2 SWI: caudate (CNR) 0.27 0.10 0.06; 0.48 2.60 P = .0117*
β3 SWI: globus pallidus (CNR) 0.19 0.06 0.07; 0,31 3.18 P = .0024**
β4 SWI: thalamus (CNR) 0.10 0.05 0.00; 0.18 1.64 P = .1074
Goodness of Fit      
DF 57      
Multiple R 0.86      
R2 0.74      
R2adj 0.73      
SS 0.74      
RMSE 0.11      
Multicollinearity Variable VIF R2 with other variables    
β0 Intercept      
β1 SWI: putamen (CNR) 1.59 0.37    
β2 SWI: caudate (CNR) 1.18 0.15    
β3 SWI: globus pallidus (CNR) 1.29 0.22    
β4 SWI: thalamus (CNR) 1.21 0.17    
Normality of Residuals Statistics p-value Passed normality test (α = .05)?    
Anderson and Darling (1952) 0.58 P = 0.13 Yes    
D’Agostino et al. (1990) 2.23 P = 0.33 Yes    
Shapiro and Wilk (1965) 0.97 P = 0.16 Yes    
Massey (distance) (1951) 0.08 P > .10 Yes    
  1. The table summarizes the multiple regression model of (βATP + PCr)/iP vs. SWI CNR values, including descriptive analyses. Apart from the overall significance test of the model, parameter estimates, goodness of fit, and necessary assumptions for multiple regression models were tested (absence of multicollinearity and normality of residuals). */**/***/***: significance levels (*: P ≤ 0.05, **: P ≤ 0.01, ***: P ≤ 0.001; ****: P ≤ 0.0001)
  2. CI confidence interval, CNR contrast-to-noise ratio, DF degrees of freedom, MS mean square, R2 coefficient of determination, R2adj adjusted coefficient of determination, RMSE root mean square error, SE standard error, SS sum of squares, SWI susceptibility-weighted imaging, T t-statistic, F F-Statistic, VIF variance inflation factor