Experiment with sema transformations to attempt to find one that some to do a better job of satisfying the three model condition. Include the summary output bar filing that model and a pratterplot of the criminal chin with the moor mudd (which is likely a curve on the original data). Explain why you think that this Immaformation ders is does not improve ratifying the linear marked conditions. According to your transformed model, is there an age Me which the car should be front Ham, find this age and comment on what the "free car" phenomenon says about the appropriatearms of your model. Again supper that you are interested in purchasing a car of this model that is four years add [in MIT). Determine rach of the billowing using your model constructed in question It #4 confidence interval far the mean price so this age and 12, perdition interval for the pics of an individual car at this up. Write wakearea that razrfully interpert wach of the interwebs (in terms of car prices]. DEL #3: Van Milange as a predictor far Price Callwin the lowest spiers regression lim that but fits your data (with Mileage now in the predictor) and produce a semibarplot of the relationship with the ngmedia linn ca it. Produce appropriate maidcal plots and comment on how well your data appear to fit the coralitious for a ample linger model Don't worry about doing transformations at this point if there are problem with the Experiment with some transformations to attrinet to find one that wowing to do a better job of slinking the Three model condition. Include the summary output bar feting that model and a prattesplet of the criginal chain with the mar mudd (which is likely a curve on the original data). Explain why you think that this transformation ders of does not improw satisfying the linear naked conditions. How do the models, using rither Age or Mirage as the perdido compare? Does one of the modes worm "briser" or do they mom similar in their ability to pordid Price? Explain