Question

Consider the following scatterplot, which describes the relationship between stopping distance (in feet) and air temperature (in degrees Celsius) for a certain 2,000-pound car traveling \( 40 \mathrm{mph} \). If another data point is added with an air temperature of \( 0^{\circ} \mathrm{C} \) and a stopping distance of 80 feet, the correlation would decrease, because this new point is an outlier that does not follow the pattern in the data. increase, because this new point is an outlier that does not follow the pattern in the data. stay nearly the same, because correlation is resistant to outliers. increase, because there would be more data points. either increase or decrease, but this cannot be determined without recalculating the correlation.

          Consider the following scatterplot, which describes the relationship between stopping distance (in feet) and air temperature (in degrees Celsius) for a certain 2,000-pound car traveling \( 40 \mathrm{mph} \).

If another data point is added with an air temperature of \( 0^{\circ} \mathrm{C} \) and a stopping distance of 80 feet, the correlation would
decrease, because this new point is an outlier that does not follow the pattern in the data.
increase, because this new point is an outlier that does not follow the pattern in the data.
stay nearly the same, because correlation is resistant to outliers.
increase, because there would be more data points.
either increase or decrease, but this cannot be determined without recalculating the correlation.

Consider the following scatterplot, which describes the relationship between stopping distance (in feet) and air temperature (in degrees Celsius) for a certain 2,000-pound car traveling 40 mph.

If another data point is added with an air temperature of 0^∘C and a stopping distance of 80 feet, the correlation would
decrease, because this new point is an outlier that does not follow the pattern in the data.
increase, because this new point is an outlier that does not follow the pattern in the data.
stay nearly the same, because correlation is resistant to outliers.
increase, because there would be more data points.
either increase or decrease, but this cannot be determined without recalculating the correlation.

Added by Wendy B.

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