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Table 3 Coefficients variables resulting from hierarchical multiple linear regression analysis (final model)

From: Investigating young women’s motivations to engage in early mammography screening in Switzerland: results of a cross-sectional study

Model variables

B

SE

β

t

p

R

R2

Adj. R2

 Constant

-1.27

.45

-2.85

.008

Covariates

 Age

.025

.01

.11***

3.69

.001

 Education

.075

.05

.05

1.53

.174

 Region

     

  Swiss-Italian

1.12

.14

.26***

8.14

.000

  Swiss-French

.43

.09

.15***

4.65

.000

Predictors

 Ego-involvement

.40

.04

.34***

10.2

.000

 Knowledge

-.27

.39

-.02

-.71

.389

 Fear

.02

.01

.08*

2.34

.013

 Susceptibility

.15

.06

.10*

2.36

.015

 Risk

.00

.00

.03

.94

.388

Model

.56

.32

.31

  1. Note. B unstandardized regression coefficient, SE standard error, β standardized regression coefficient, t obtained t-value, p probability, R2 proportion variance explained, Adj. R2 adjusted proportion variance explained. Dependent variable: mammography intentions in the near future. *Correlation significant at p  ≤ 0.05. **Correlation significant at p  ≤ 0.01. ***Correlation significant at p ≤ 0.001