Researchers Initiated A Long Term Study Of The Population Of American Black Bears One Aspect Of The Study Was To Develo 1 (55.55 KiB) Viewed 99 times
Researchers initiated a long-term study of the population of American black bears. One aspect of the study was to develop a model that could be used to predict a bear's weight (since it is not practical to weigh bears in the field). One variable thought to be related to weight is the length of the bear. The accompanying data represent the lengths and weights of 12 American black bears. Completa parts (a) through (d) below. Click here to view the data label Click here to view the critical values table. (a) Which variable is the explanatory variable based on the goals of the research? OA. The number of bears OB. The length of the beer OC. The weight of the bear (b) Draw a scatter diagram of the data. Choose the correct graph below. OA. Avigtig 180 IN + AUTY LED Langil lang Q Q M (c) Determine the Incar correlation coefficient between weight and length. The linear correlation coefficient between weight and length is r- ____. (Round to three decimal places as needed.) (d) Does a linear relation exist between the weight of the bear and its length? The variables weight of the bear and length of the bear are (Round to three decimal places as needed.) AWAug84. Qui Lang ▾ associated because ris and the absolute value of the correlation coefficient, is than the orilical value. 10%- G Q Q
th Data Table Total Length (cm) 139.0 135.0 130.0 120.5 149.0 141.0 141.0 150.0 166.0 151.5 129.5 150.0 Print Weight (kg) 110 60 90 60 95 100 95 85 155 140 105 110 Done n X value
Critical Values for the Correlation Coefficient Critical Values for Correlation Coefficient Print n 3 0.997 4 0.950 5 0.878 6 0.811 7 8 9 10 11 0.754 0.707 0.666 0.632 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 Done X
(d) Does a linear relation exist between the weight of the bear and its length? The variables weight of the bear and length of the bear are (Round to three decimal places as needed.) not associated because r is negatively positively and the absolute value of the correlation coefficient, is than the critical value,
(d) Does a linear relation exist between the weight of the bear and its length? The variables weight of the bear and length of the bear are (Round to three decimal places as needed.) associated because ris and the absolute value of the correlation coefficient, negative positive is than the critical value,
(d) Does a linear relation exist between the weight of the bear and its length? The variables weight of the bear and length of the bear are (Round to three decimal places as needed.) associated because r is and the absolute value of the correlation coefficient, is than the critical value, less greater
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