Table 1.

Multivariable regression model using time variables and season to predict seasonal depression search intent (R²=0.91).

Variables	Coefficients	Standard error	t statistic	P value	Adjusted P valuea	r
Intercept	56.4	4.7	12.1	<.001	<.001	–b
Control	0.0	0.1	–0.4	.70	.99	0.69
Time	0.5	0.0	12.9	<.001	<.001	0.91
Time2	0.0	0.0	–6.8	<.001	<.001	0.83
Winterc	4.5	0.9	5.3	<.001	<.001	0.03
Springc	7.0	0.9	8.2	<.001	<.001	0.12
Fallc	4.6	0.9	5.2	<.001	<.001	0.06

^aBonferroni correction for 4 independent analyses on the dependent variable (alpha=.05).

^bNot applicable.

^cRelative to summer.