In a linear regression y=β0+β1x+ϵy = \beta_0 + \beta_1x + \epsilony=β0+β1x+ϵ, what does testing H0:β1=0H_0: \beta_1 = 0H0:β1=0 tell us?
If the intercept is significant.
If there is a linear relationship between xxx and yyy.
If the model is homoscedastic.
If the model has no error.