1.1. Given the following training set, we want to build a quadratic regression model of the...

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1.1. Given the following training set, we want to build a quadratic regression model of the form f(x) = ax + bx + c to estimate crop yield based on temperature: Temperature (in Celsius) Crop yield (in tons) 12 30 20 70 25 90 35 80 Assuming the model is to be determined using a regularized least-squares approach, determine the corresponding optimization problem in matrix-vector form. 1.1. Given the following training set, we want to build a quadratic regression model of the form f(x) = ax + bx + c to estimate crop yield based on temperature: Temperature (in Celsius) Crop yield (in tons) 12 30 20 70 25 90 35 80 Assuming the model is to be determined using a regularized least-squares approach, determine the corresponding optimization problem in matrix-vector form.