Question: We trained a linear regression model using polynomial basis functions with M = 4 . Assume the input dimensionality for the feature vector x is

We trained a linear regression model using polynomial basis functions with M =4. Assume the input dimensionality for the feature vector x is one. After training, the weight vector is w =[0.4,-0.9,3.2,8,1.2]. At test time, the input test vector is X.=x.=1.3. What is the value of the prediction w? Use only three decimal points for your answer, for example, 0.751 or 12.403, with NO ROUNDING.

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