Table 6 Summary of hierarchical regression analysis for positive and NR and their interactions with gender and gender in predicting happiness in the elderly

PR

Model 1: Age

0.033

-0.312

0.104

-0.152

-2.993^**

Gender

4.259

1.499

0.145

2.842^**

Model 2: Age

0.167

0.676

0.086

0.378

-4.160^***

Gender

-0.405

0.097

-0.198

1.614

PR

2.281

1.414

0.077

7.846^***

Model 3: Age

0.174

-1.543

0.661

-0.754

-2.336^*

Gender

-7.191

9.532

-0.244

-0.754

PR

-0.787

0.801

-0.440

-0.983

Gender × PR

0.021

0.012

1.020

1.724

Age × PR

0.176

0.178

0.332

0.991

NR

Model 1: Age

0.033

-0.312

0.104

-0.152

-2.993^**

Gender

4.259

1.499

0.145

2.842^**

Model 2: Age

0.069

-0.214

0.105

-0.105

-2.033^*

Gender

3.554

1.481

0.121

2.399^*

NR

-0.341

0.086

-0.202

-3.944^***

Model 3: Age

0.068

0.303

0.570

0.148

0.531

Gender

-3.538

7.777

-0.120

-0.455

NR

0.332

0.799

0.196

0.415

Gender × NR

-0.011

0.012

-0.931

-0.931

Age × NR

0.158

0.170

0.930

0.930