Question: Bivariate data often arises from the use of two different techniques to measure the same quantity. As an example, the accompanying observations on x =

Bivariate data often arises from the use of two different techniques to measure the same quantity. As an example, the accompanying observations on

x= hydrogen concentration (ppm)

using a gas chromatography method and

y= concentration

using a new sensor method were read from a graph in an article.

x 46 63 65 70 70 77 94 100 114 118 124 127 140 140 140 150 152 164 198 221
y 39 62 52 68 85 79 93 106 117 116 127 114 134 139 142 170 149 154 200 215

Construct a scatterplot.

Does there appear to be a very strong relationship between the two types of concentration measurements? Do the two methods appear to be measuring roughly the same quantity? Explain your reasoning.The points fall very close to a quadratic line withx-intercepts of approximately 0 and 225. This suggests that the two methods are producing substantially different concentration measurements.The points fall very close to a straight line with any-intercept of approximately 225 and a slope of about1. This suggests that the two methods are producing substantially the same concentration measurements. The points fall very close to a straight line with anx-intercept of approximately 0 and a slope of about 1. This suggests that the two methods are producing substantially the same concentration measurements.The points fall very close to a straight line with any-intercept of approximately 125 and a slope of about 0. This suggests that the two methods are producing substantially the same concentration measurements.The points fall very close to a quadratic line withx-intercepts of approximately 0 and 225. This suggests that the two methods are producing substantially the same concentration measurements.

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