model = 
Linear regression model:
    response ~ 1 + predictor_1

Estimated Coefficients:
                                      <strong>Estimate</strong>       <strong>SE</strong>        <strong>tStat</strong>       <strong>pValue</strong>  
                                      <strong>________</strong>    <strong>________</strong>    <strong>_______</strong>    <strong>__________</strong>
    <strong>(Intercept)                   </strong>      2.5424    0.014802     171.77             0
    <strong>predictor_1_WT freely_sleeping</strong>    -0.34461    0.021357    -16.136    2.5434e-53
    <strong>predictor_1_WT headfixed      </strong>    -0.33248    0.030101    -11.046    4.0227e-27

Number of observations: 1245, Error degrees of freedom: 1242
Root Mean Squared Error: 0.349
R-squared: 0.192,  Adjusted R-Squared: 0.191
F-statistic vs. constant model: 148, p-value = 3.13e-58