Only the sign of the computed coefficient is informative.

Happiness is an ordered categorical variable. Higher categories correspond to being more happy.

OPRC < 0 indicates that the probability of being beyond a chosen happiness category decreases and the probability of being at or below that category increases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.

OLRC > 0 indicates that the probability of being beyond a chosen happiness category
increases and the probablity of being at or below that category decreases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.

Type: test statistic.

Measurement level: Correlates: all metric, Happiness: metric.
Range: [-1 ; +1]

Meaning:  
beta > 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta < 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta = 0  «   no correlation.
beta = + 1 or -1  «   perfect correlation.

Type: test statistic.

Measurement level: Correlates: all metric, Happiness: metric.
Range: [-1 ; +1]

Meaning:  
beta > 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta < 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta = 0  «   no correlation.
beta = + 1 or -1  «   perfect correlation.

Only the sign of the computed coefficient is informative.

Happiness is an ordered categorical variable. Higher categories correspond to being more happy.

OPRC < 0 indicates that the probability of being beyond a chosen happiness category decreases and the probability of being at or below that category increases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.

OLRC > 0 indicates that the probability of being beyond a chosen happiness category
increases and the probablity of being at or below that category decreases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.

Type: test statistic.

Measurement level: Correlates: all metric, Happiness: metric.
Range: [-1 ; +1]

Meaning:  
beta > 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta < 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta = 0  «   no correlation.
beta = + 1 or -1  «   perfect correlation.

Type: test statistic.

Measurement level: Correlates: all metric, Happiness: metric.
Range: [-1 ; +1]

Meaning:  
beta > 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta < 0  «  a higher correlate level corresponds to a higher happiness rating on average.
beta = 0  «   no correlation.
beta = + 1 or -1  «   perfect correlation.