Answer (a): B (the length of the bear). Here, we want to predict bears weight based on the length of the bear. So, weight is the exploratory variable and length is the explanatory variable.
Answer (b): B
The scatter plot drawn in excel is shown below.
Researchers initiated a long-term study of the population of American black bears. One aspect of the...
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. Click here to view the...
cu 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. Be Click the icon...
Assigned Media Question Help 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. Click...
4.1.28 Assigned Media Question Help 3 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)...
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 ?Click the icon to view...
O A. 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 BEE Click the icon...
Critical Values Table: Data Table: Total Length (cm) Weight (kg) 139.0 110 138.0 60 139.0 90 120.5 60 149.0 85 141.0 100 141.0 110 150.0 85 166.0 155 151.5 140 129.5 105 150.0 110 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...
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 44 inches. Is the result close to the actual weight of 213 pounds? Use a significance level of 0.05. Chest size (inches) 50 41 45 52 45 45 Weight (pounds) 321 221 265 335 307 265 Critical Values of the Pearson Correlation coefficient...
A Question Help O The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 39 inches. Is the result close to the actual weight of 126 pounds? Use a significance level of 0.05. Critical Values of the Pearson Correlation coefficient Х Chest size (inches) 44 41 41 55 51 42 Weight (pounds) 213...
6). a.b.b. The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Click the icon to view the critical values for the correlation coefficient. Commute Time (in minutes) Well-Being Score 5 69.5 16 68.9 27 67.5 34 67.4 47 66.9 68 65.9 97 63.9 (a) Which variable is likely the explanatory variable and which is...