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A researcher collected data on the number of annual bear sightings in a region over time. The results are shown in the scatterplot. A regression function is graphed with r^2=0.42. The predicted number of annual bear sightings after 19.5years is 62.2.

Is this prediction appropriate?

A.

Yes. The r^2value indicates a strong fit, and x=19.5is within 50%of the range of the maximum value.

B.

No. The r^2value indicates a strong fit, but x=19.5is more than 50%of the range beyond the maximum value.

C.

No. The r^2value indicates a moderate fit, but x=19.5is more than 25%of the range beyond the maximum value.

D.

Yes. The r^2value indicates a moderate fit, and x=19.5is within 25%of the range of the maximum value.

In the graph showing the number of new customer accounts, the horizontal axis shows the number of weeks since the beginning of winter and the vertical axis shows the number of new customer accounts. More customer accounts are opened during snowy weeks than during weeks without snow.

When was it likely snowy?

A.

It was likely snowy during only week 1.

B.

It was likely snowy during only week 7.

C.

It was likely snowy during weeks 1 and 5.

D.

It was likely snowy during weeks 7 and 14.