CAS Exam MAS-I Spring 2018, Question 34
Study guide: Exam MAS-I
You are estimating the coefficients of a linear regression model by minimizing the sum:
\sum_{i=1}^{n}\left(y_i - \beta_0 - \sum_{j=1}^{p}\beta_j x_{ij}\right)^2 \quad \text{subject to} \quad \sum_{j=1}^{p}\beta_j^2 \le s
From this model you have produced the following plot of various statistics as a function of the budget parameter, s:
Determine which of the following statistics X and Y represent.
- A) X = Squared Bias, Y = Test MSE
- B) X = Test MSE, Y = Variance
- C) X = Training MSE, Y = Squared Bias
- D) X = Training MSE, Y = Variance
- E) X = Variance, Y = Training MSE
Answer this question and see the worked solution