model = 
<strong>Linear mixed-effects model fit by ML</strong>

<strong>Model information:</strong>
    Number of observations              10
    Fixed effects coefficients           2
    Random effects coefficients          0
    Covariance parameters                1

<strong>Formula:</strong>
    sleep_start ~ 1 + movement

<strong>Model fit statistics:</strong>
    AIC        BIC        LogLikelihood    Deviance
    -5.5454    -4.6377    5.7727           -11.545 
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                          Estimate    SE          tStat     DF    pValue        Lower      Upper 
    {'(Intercept)'       }        3.7301      0.060754    61.397    8     5.5048e-12       3.59    3.8702
    {'movement_headfixed'}        1.0268      0.085918    11.951    8     2.2122e-06    0.82866    1.2249
<strong>Random effects covariance parameters (95% CIs):</strong>
Group: Error
    Name               Estimate    Lower       Upper  
    {'Res Std'}        0.13585     0.087644    0.21057