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2. For a project, two AP Statistics students decided to investigate the effect of sugar on the life of cut flowers. They went to the local grocery store and randomly selected 12 carnations. All the carnations seemed equally healthy when they were selected. When they got home, the students prepared 12 identical vases with exactly the same amount of water in each vase. They put 1 tablespoon of sugar in three vases, 2 tablespoons of sugar in three vases, and3 tablespoons of sugar in three vases. In the remaining 3 vases, they put no sugar. After the vases were prepared and placed in the same location, the students randomly assigned one flower to each vase and observed how many hours each flower continued to look fresh. A scatterplot, residual plot, and computer output from the regression are shown. Only 10 points appear on the scatterplot and residual plot since there were two observations at (1,204) and two observations at (2, 210). 240 220 200 180 u 160 101 . 3 .5 -10 0.0 1.0 2.0 3.0 00 1.0 2.0 30 Sugar (tbs) Sugar (ibs) Predictor Constant 181.200 Sugar 3.635 49.94 0.000 15.200 1.943 7.0 0.000
A. What is the equation of the least-squares line? Be sure to define any variables you use B. Is a line an appropriate model for these data? Justify your answer. (You need at least two sentences.) C. Interpret the value of s in the context of this problem D. Interpret the value of r in the context of this problem.
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response aransstho x = su gar mode) (B nen analysis han co er close to tool. distanco f dara paink fm p ling henca le houe-conclude-that-gluen mode) dnd beter predicing inm

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