(a) Suppose that the true relationship between x and y is linear, i.e. y = β₀ + β₁X + ε. Consider the training residual sum of squares (RSS) for the linear regression, and also the training RSS for the cubic regression. Would we expect one to be lower than the other, would we expect them to be the same, or is there not enough information to tell? Justify your answer.