Regressions

Regressions, in a general sense, refer to the act or process of returning to a previous or earlier state or condition. This can manifest in various ways, from a setback in progress or development to a recurrence of a past behavior or ailment. In statistical analysis, it specifically refers to a method used to model the relationship between a dependent variable and one or more independent variables, allowing predictions to be made. The term implies a movement backward, a reversion, or a going back to a less advanced or desirable situation, state or condition.

Regressions meaning with examples

• After weeks of improvement, the child exhibited a significant regression in their language skills, reverting to using fewer words and shorter sentences. This was a sign of possible stress. This setback concerned his parents and teachers, requiring a careful reassessment of their support and intervention strategies to help them progress again.
• The economic forecasts predicted a regression in the housing market, with property values expected to decline after several years of consistent growth. This anticipated downturn would affect investment and trigger caution amongst potential buyers. Investors began selling their stocks anticipating the fall in value of their homes, creating a difficult economic environment.
• Therapists often explore past experiences through techniques like 'age regression' to help patients understand the roots of their current issues and behaviors. The patient may relive memories from earlier periods of their lives. This can provide insights into how those events are linked to the present, enabling healing.
• Scientists used statistical regressions to analyze the correlation between pollution levels and respiratory illnesses in the city. The analysis allowed them to model the effect of changing pollution regulations. This, therefore, would help estimate the potential public health benefits of improved environmental policies.