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# Fixed Effects
Parameter | Coefficient | SE | 95% CI | t(45) | p
--------------------------------------------------------------------
(Intercept) | 9.89 | 1.06 | [ 7.76, 12.03] | 9.35 | < .001
rprice [log] | -1.28 | 0.26 | [-1.81, -0.75] | -4.85 | < .001
rincome [log] | 0.28 | 0.24 | [-0.20, 0.76] | 1.18 | 0.246
Message
Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
using a Wald t-distribution approximation.
The model has a log-transformed response variable. Consider using
`exponentiate = TRUE` to interpret coefficients as ratios.
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