Table 3 Linear regression model – job...

Table 3

Linear regression model – job satisfaction

Model	R	R-squared	Adjusted R-squared	Standard error of the estimate	Durbin-watson
1	0.652^a	0.426	0.420	0.72286
2	0.707^b	0.500	0.491	0.67740
3	0.747^c	0.557	0.545	0.64056
4	0.770^d	0.592	0.577	0.61754
5	0.783^e	0.613	0.595	0.60433
6	0.793^f	0.629	0.608	0.59456	2.030

Model	R	R-squared	Adjusted R-squared	Standard error of the estimate	Durbin-watson
1	0.652^a	0.426	0.420	0.72286
2	0.707^b	0.500	0.491	0.67740
3	0.747^c	0.557	0.545	0.64056
4	0.770^d	0.592	0.577	0.61754
5	0.783^e	0.613	0.595	0.60433
6	0.793^f	0.629	0.608	0.59456	2.030

Note(s):

Predictors: (Constant), Learning Opportunities

Predictors: (Constant), Learning Opportunities, Usefulness of work

Predictors: (Constant), Learning Opportunities, Usefulness of work, Remuneration

Predictors: (Constant), Learning Opportunities, Usefulness of work, Remuneration, Recognition

Predictors: (Constant), Learning Opportunities, Usefulness of work, Remuneration, Recognition, Service spirit

Predictors: (Constant), Learning Opportunities, Usefulness of work, Remuneration, Recognition, Service spirit, Autonomy

Source(s): Prepared by the authors (2025)

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