STAT 3010 Lecture Notes - Lecture 15: Confidence Interval

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Published on 7 Oct 2018
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The shape of the data is slightly linear. The direction is a positive relationship. The correlation
coefficient is 0.296177 which is closer to zero than positive one meaning that there is little to
no relationship between the calories and carbohydrates. In fact, only 8.772% of the variation in
calories can be explained by carbohydrates. Thus, the we cannot conclude that calories can be
predicted by carbohydrates. Interpreting the slope, we see that as we increase the amount of
carbohydrates by one gram per serving the calories of the cereal will increase by 1.6080
calories.
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