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...

14 d

I NEED JUST PART D

14.

in d you choose between

1. positively / negatively / not

2. negative / positive

3. less / greater

Extracted text: 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. Complete parts (a) through (d) below. E Click the icon to view the data table. E Click the icon to view the critical values table. ..... (a) Which variable is the explanatory variable based on the goals of the research? O A. The number of bears O B. The length of the bear OC. The weight of the bear (b) Draw a scatter diagram of the data. Choose the correct graph below. OA. O B. Oc. OD. AWeight (ag) 180- AWaight kg) 180 ALength (em) 180 AWeight (kg) 180 40+ 100 Langth (cm) 40+ 40+ 40+ 100 Langth (cm) 200 200 100 200 100 200 Weight ag) Length (cm) (c) Determine the linear correlation coefficient between weight and length. The linear correlation coefficient between weight and length is r= 0.741 (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 associated because r is and the absolute value of the correlation coefficient, is than the critical value,D (Round to three decimal places as needed.) Data table Total Length (cm) Weight (kg) 138.0 110 135.0 60 130.0 90 120.5 60 149.0 95 141.0 105 141.0 95 150.0 85 166.0 155 151.5 140 129.5 105 150.0 110 Print Done