In this model, we now have three coefficients that need to be estimated: b 0 is the intercept, b 1 is the coefficient associated with my sleep, and b 2 is the coefficient associated with my son’s slee...In this model, we now have three coefficients that need to be estimated: b 0 is the intercept, b 1 is the coefficient associated with my sleep, and b 2 is the coefficient associated with my son’s sleep. However, although the number of coefficients that need to be estimated has changed, the basic idea of how the estimation works is unchanged: our estimated coefficients \(\ \hat{b_0}\), \(\ \hat{b_1}\) and \(\ \hat{b_2}\) are those that minimise the sum squared residuals.
In this model, we now have three coefficients that need to be estimated: b 0 is the intercept, b 1 is the coefficient associated with my sleep, and b 2 is the coefficient associated with my son’s slee...In this model, we now have three coefficients that need to be estimated: b 0 is the intercept, b 1 is the coefficient associated with my sleep, and b 2 is the coefficient associated with my son’s sleep. However, although the number of coefficients that need to be estimated has changed, the basic idea of how the estimation works is unchanged: our estimated coefficients \(\ \hat{b_0}\), \(\ \hat{b_1}\) and \(\ \hat{b_2}\) are those that minimise the sum squared residuals.