t 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 25 000 20 000 15 000 10 000- 5000 10 20 30 40 50 (c) In what years were there more patents awarded than might be expected from the model? (Enter...


t<br>10<br>20<br>30<br>40<br>50<br>60<br>10<br>20<br>30<br>40<br>50<br>60<br>10<br>20<br>30<br>40<br>50<br>25 000<br>20 000<br>15 000<br>10 000-<br>5000<br>10<br>20<br>30<br>40<br>50<br>(c) In what years were there more patents awarded than might be expected from the model? (Enter your answers as a comma-separated list.)<br>Need Help?<br>Read It<br>P Type here to search<br>B.<br>-1080<br>R<br>23<br>

Extracted text: t 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 25 000 20 000 15 000 10 000- 5000 10 20 30 40 50 (c) In what years were there more patents awarded than might be expected from the model? (Enter your answers as a comma-separated list.) Need Help? Read It P Type here to search B. -1080 R 23
For this exercise, round all regression parameters to three decimal places.<br>The following table shows the numbert P of design patents awarded by the U.S. Patent and Trademark Office from 1950 through 2010.<br>t = years since 1950<br>P = patents<br>4718<br>10<br>2543<br>20<br>3214<br>30<br>3949<br>40<br>8024<br>50<br>17,413<br>60<br>22,799<br>(a) Use exponential regression to model P as a function of t.<br>P(t) =<br>(b) Plot the data alng with the regression equation.<br>P.<br>25 000<br>25 000<br>25 000<br>20 000<br>20 000<br>20 000<br>15 000<br>15 000<br>15 000<br>10 000<br>10 000<br>10 000<br>5000<br>5000<br>5000<br>P Type here to search<br>FULL<br>HD 1080<br>P1R E<br>

Extracted text: For this exercise, round all regression parameters to three decimal places. The following table shows the numbert P of design patents awarded by the U.S. Patent and Trademark Office from 1950 through 2010. t = years since 1950 P = patents 4718 10 2543 20 3214 30 3949 40 8024 50 17,413 60 22,799 (a) Use exponential regression to model P as a function of t. P(t) = (b) Plot the data alng with the regression equation. P. 25 000 25 000 25 000 20 000 20 000 20 000 15 000 15 000 15 000 10 000 10 000 10 000 5000 5000 5000 P Type here to search FULL HD 1080 P1R E

Jun 09, 2022
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