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    0.014511      175.2             0
    <strong>predictor_1_WT freely_sleeping</strong>    -0.34461    0.020938    -16.459    2.0868e-54

Number of observations: 1068, Error degrees of freedom: 1066
Root Mean Squared Error: 0.342
R-squared: 0.203,  Adjusted R-Squared: 0.202
F-statistic vs. constant model: 271, p-value = 2.09e-54