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Problem 6: A preview of R Grading criteria: correctness and thoroughness of explanations. For the following exercise, switch your kernel to R (R-Project). You might

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Problem 6: A preview of R Grading criteria: correctness and thoroughness of explanations. For the following exercise, switch your kernel to "R (R-Project)". You might find it easier to run the commands in another notebook, but enter your answers in this one. In each of the following cells, run the R commands as indicated, then explain in words: . what is the data being analyzed; what the code is doing; one conclusion you drew from the data. You might want to consult the documentation for the R datasets package, from which these examples were taken. In (): require(graphics) cop lot (weight ~ Time Chick, data = Chickweight, type = "b", show.given = FALSE) Type Markdown and LaTeX: a? In (): require(stats); require(graphics) coplot(circumference age | Tree, data = Orange, show.given = FALSE) fmi

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