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    1. There may be no association between mpg and sales volume.

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    1. It is just a base value.
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    1. At best, it is a category.
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    1. These are categorical values.
    1. That distance should be removed before looking at a plot of the drilling distances.

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    1. Transform these data using either square roots or logs.
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    1. The line usually touches none of the points.
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    1. This graph does not support the claim that the number of hurricanes has increased in recent decades.
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    1. Typically, the mean and standard deviation are influenced by outliers and skewness.
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    1. Number of text messages: explanatory; cost: response.
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    1. We have no information about the shape of the relationship.
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    1. The analyst's argument is that sales staff cause sales.
    1. Even though MLS ID numbers are categorical identifiers, they are assigned sequentially, so this graph has some information.
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    1. It is correct to regard it as an outlier or not; that's a matter of judgment.
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    1. Growth (Developed Countries) The predicted growth of developing countries in years of 0 growth in developed countries.
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    1. But without the actual scores, it is impossible to calculate the exact IQRs.
    1. R2 is an indication of the strength of the model, not the appropriateness of the model.
    1. Possibly an outlier for contracts with fixed cost for texting.
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    1. The bimodality of the distribution.
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    1. It will not change the correlation.
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    1. There's no basis for computing a correlation.
    1. We minimize the sum of the squared errors.
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    1. Since then, the distribution has been increasingly skewed to the right.
    1. Outlier condition: Examine the scatterplot.
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    1. The model is meaningless because the variable Region is not quantitative.
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    1. The trend over time.
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    1. Doesn't really make sense in this context.
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    1. International Funds generally outperformed the other two.
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    1. The distribution of gas prices in 2004 shows the greatest range and the biggest IQR, so the prices varied a great deal.
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    1. It makes sense that a state's finances would influence both amounts in the same way.
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    1. Prices were relatively stable until the late 1990s, when they started increasing.
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    1. The distribution of prices in 2002 was skewed to the left with several low outliers.
    1. Linear shape in a narrow range, but curved over a larger range of prices.
    1. The distribution is skewed.
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    1. Large Cap funds had the least variation of the three types.
    1. There do not appear to be any decades that would be considered to be outliers.
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    1. There is a strong negative linear association between Carbon Footprint and Highway mpg.
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    1. One hole was drilled almost an inch away from the center of the target!
    1. The winners may be suffering from regression to the mean.
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    1. To predict demand from price.
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    1. The mean of 54.
    1. The analyst should set aside those two customers and refit the model.
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    1. That makes it difficult to estimate anything meaningful from the graph.
    1. There is a positive association, but correlation doesn't imply causation.
    1. So it's even more unusual.
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    1. There is a high outlier in 2004, although it appears to be pretty close to the upper fence.
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    1. Data values far from the main body of the data and in line with the linear trend tend to increase correlation and may make it misleading.
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    1. Unimodal, skewed to the right.
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    1. Perhaps they weren't really better than other rookie executives, but just happened to have a lucky year.
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    1. Both are responses to the lurking variable of temperature.
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    1. The positive, somewhat linear relation between batch number and broken pieces.
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    1. Residual plot looks fine.
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    1. Yes, the scatterplot is straight enough, variables are quantitative and there are no outliers.
    1. Environmentalists hope that a higher mpg will encourage higher sales, which would be a positive association.
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    1. Only a few percent of winners have had speeds below 33 mph.
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    1. Correlation does not demonstrate causation.
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    1. The Prius is far from the rest of the data.
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    1. Sales can be accounted for by the regression of Sales on Number of Sales Workers.
    1. However, the data may reflect the store hiring more people as sales increase, so any causation would run the other way.
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    1. Yes, this makes sense.
    1. It is the sum of the squares of all the residuals that is minimized.
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    1. Linearity condition: Examine a scatterplot of Starting Salary by GPA.
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    1. Summary statistics are only appropriate for quantitative data.
    1. With the outlier removed, we can see that the slow drilling process is more accurate.
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    1. The lowest winning speed is just under 31 mph, and the fastest speed is about 37.

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