Table 4.
Regression models: Predicting valuation of ABSD systems in both Small and Large Conditions
| Small Amount ($250 anchor) |
Large Amount ($500 anchor) |
|||||||
|---|---|---|---|---|---|---|---|---|
| β | R2 | ΔR2 | F | B | R2 | ΔR2 | F | |
| Model 1 | 0.16 | 8.42** | 0.26 | 14.30*** | ||||
| Age | 0.40** | 0.51*** | ||||||
| Model 2 | 0.26 | 0.1 | 3.53* | 0.31 | 0.05 | 4.17** | ||
| Age | 0.25 | 0.60* | ||||||
| Gender | −0.25 | 0.1 | ||||||
| Income | 0.04 | 0.06 | ||||||
| Technology Efficacy | −0.28 | 0.23 | ||||||
| Model 3 | 0.3 | 0.04 | 1.47 | 0.36 | 0.05 | 1.78 | ||
| Age | 0.24 | 0.46 | ||||||
| Gender | −0.25 | 0.06 | ||||||
| Income | 0.01 | 0.08 | ||||||
| Technology Efficacy | −0.26 | 0.16 | ||||||
| Vision: Driving Factors Night/Dusk Driving & Perception Reaction Time | 0.13 | 0.13 | ||||||
| Instrument Panel Difficulties/Desire for Illumination | −0.05 | 0.19 | ||||||
| Cabin Visual Obstructions | 0.05 | 0.01 | ||||||
| Headlight Glare Issues | 0.06 | 0.06 | ||||||
| Longitudinal/Latitudinal Driving Maintenance Issues | −0.12 | −0.1 | ||||||
| Unnoticed Vehicles & Poor Lighting | −0.12 | −0.04 | ||||||
Note:
*
<.05
**
<.01
***
<.001