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Table 2 Hierarchical multiple regression analysis for the prediction of ambulatory onset and contributions of the respective predictors to the prediction model

From: Predictors of ambulatory recovery and walking proficiency in community-dwelling stroke survivors: a cross-sectional study

Model summary

Model

R

R2

Adjusted R2

R2 change

F change

Sig. F change

Durbin-Watson

SE

1

0.111

0.012

0.000

0.012

0.996

0.372

-

2.89

2

0.507

0.257

0.233

0.245

17.331

0.000

1.976

2.55

Predictive factor input

Model

Predictors

(B)

(β)

Part C.

95% CI

p-value

t-value

 

1

Constant

2.475

  

−0.12–5.07

0.061

1.88

 

Age

−0.022

−0.86

−0.088

−0.06–0.02

0.274

−1.10

 

Gender

0.386

0.067

0.067

−0.51–1.28

0.394

0.86

 

2

Constant

1.048

  

−1.68–3.78

0.450

0.76

 

Age

0.006

0.023

0.023

−0.03–0.40

0.742

0.33

 

Gender

0.237

0.041

0.041

−0.55–1.02

0.550

0.60

 

Stroke DR

0.067

0.403

0.390

−0.04–0.09

<0.00*

5.70

 

Hosp. DR

0.038

0.176

0.166

0.01–0.07

0.017*

2.42

 

LEMF

−0.047

−0.119

−0.114

−0.10–0.01

0.098

−1.67

 
  1. a. Predictors: (constant), gender of the participants, age of the participants
  2. b. Predictors: (constant), gender, age (years), stroke duration (months), lower extremity motor function, duration of in-patient hospital stays (days) of the participants
  3. c. Dependent variable: ambulatory onset post-stroke
  4. General regression predictive equation: Y= a + bx
  5. Y = value of dependent variable; a = constant; b = regression coefficient of each predictor variable; x = value of each predictor variable
  6. Ambulatory onset post-stroke is therefore = 2.475 + bx
  7. Values of b and x will be added to the equation continuously depending on the number of predictor variables
  8. Model 1 is the first showing demographics (age and gender), model 2 is the second following model 1 and shows demographics (age and gender) and other independent (predictor) variables
  9. Key: Adjusted R2 Adjusted goodness-of-fit measure for the regression model, Part C. part correlation, SE Standard error, Hosp. Hospital, df degree of freedom, DR Duration, B unstandardized coefficient, β standardized coefficient, LEMF Lower extremity motor function
  10. *Significant at p ≤ 0.05; ANOVA summary: F = 10.918, df = 5, p < 0.001