Question: I need answer for this QUESTION 7 (a) The figure below shows a data set D (represented by the points) that has been used to

I need answer for this
QUESTION 7 (a) The figure below shows a data set D (represented by the points) that has been used to train two different regression models (represented by the solid lines in both graphs). The purpose of these models is, for any given X value, to predict the associated Y value. State which of these two models, Model 1 or Model 2, is likelier to better predict Y values for new X positions not already present in the data set D. Explain your choice. Why would the other model make worse predictions? Can you suggest at least two ways one might remedy the other model's inferior performance? (8 marks)
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