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Table 7 Multinomial logistic regression parameters estimates of predictors of the perceived thermal sensation (3-step scale, winter)

From: Certain personal and environmental factors as predictors of thermal sensation perceived by a population of students in a university setting from Timisoara, Romania: a case study

Warm = 1, Pleasant = 2, Cold = 3a

B

SE

Sig.

Exp(B)

2

Intercept

2.079

.750

.006

 

[Country = 1] Romania

17.349

.622

.000

3.426E7

[Country = 2] Israel

−1.743

.857

.042

.175

3

Intercept

1.219

.845

.149

 

[Gender = 0] Male

−2.064

.644

.001

.127

[B3 = 2] very sensitive to cold

1.547

.956

.106

4.699

2

Intercept

9.938

5.344

.063

 

Humidity indoor winter

−.211

.084

.012

.810

 

NET

−.018

.191

.924

.982

3

Intercept

6.715

6.615

.310

 

Humidity indoor winter

−.280

.092

.002

.756

 

NET

.260

.260

.317

1.297

  1. B the logistic coefficient, SE standard error, Sig. p value, Exp(B)–odd ratio
  2. aThe reference category—1; 2, 3—alternative categories