Description
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Do problem 1.5. When it says “summarize the information available in these plots”, comment on direction and strength of associations, outliers, and other prominent features.
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For the data set in problem 1.5, do the following.
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Give at least two possible ways in which the data set could be inadequate for building a useful prediction model for stream runoff near Bishop, California.
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Does the data set result from an observational, or experimental, study?
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Give at least three important questions that a person might have about the data set before performing inferential analysis on it.
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Create some kind of plot or visualization (other than what you did in question 1) to answer one of the questions you listed in the last question part.
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Do problem 1.4. The term “summary plot” in the textbook refers to a scatter plot. When it says “summarize your results”, comment on direction and strength of associations, outliers, and other prominent features.
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For the data set in problem 1.4, do the following.
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Identify the predictor and the response.
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Does the data enable you to make claims about causation, or merely association?
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Does a straight-line mean function seem to be plausible for this data set? Why or why not?
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Give the mean function and variance function (in terms of β0, β1, and σ2) that would comprise a linear model for this data set.
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Do problem 1.6.