Carl, a stats student who loves to fish, collected data on a random sample of 54 perch caught from a large local lake. For each fish, Carl recorded the length of the fish (in cm) and the weight of the fish (in grams). Carl now wishes to determine if length is a statistically significant linear predictor of weight for all perch found in this local lake. Before making any conclusions, Carl knows that he must check his assumptionsFirst, identify which of the following graphs will best help Carl verify the linear regression assumptions for his analysis. Then, state the technical assumption(s) that (each of) your selected graph(s) helps verify (no context is required here). Graph A Graph B Histogram of Length Histogram of Residuals for a Sample of 54 Perch by MB for a Sample of 54 Perch by MB frequency frequency 2 LO O O 10 20 30 40 50 100 0 100 200 300 400 Length (in cm) Residuals Graph C Graph D Histogram of Fitted Values Histogram of Weight for a Sample of 54 Perch by MB for a Sample of 54 Perch by MB D frequency CO frequency LD O 200 0 200 400 600 800 1000 0 200 400 600 800 1000 Fitted Values Weight (in grams)