Consider the following data table: We postulate that the data can be explained by a linear model, this is y=a1x1+ a2x2+ for some (unknown) regression coefficients x1 and x2 (there is no intercept in this model) and where is an error term. An estimate of the unknown coefficients x1 and x2 can be found by solving the least squares optimization problem minx1,x2x12+(32x1+x2)2+(1+2x2)2. Suppose a new data point is given with a1=1 and a2=1. What is your prediction for the corresponding value of y