So the equation is Y = 24.645
+ 9.76 X
Now to find what will be the value of y at X = 62.
Put x =62 in the equation,
We get,
Y = 24.645 + 9.76 × 62
= 629.765 (A) is correct.
Please appreciate it if you like the answer.
44.0 The paired data below consist of the length of random bears in inches and their...
. The paired data below
consist of the length of random bears in inches and their weight in
pounds. Find the correlation equation. inches 39.0 64.0 30.0 51.0
44.0 39.0 65.0 47.0 lbs 372.0 672.0 242.0 442.0 366.0 360.0 618.0
454.0
17. The paired data below consist of the length of random bears in inches an 3700 6720300 185006430 39.0 64.0 1.0 4.039.0 65 154 weight in pounds. Find the correlation equation 1.841 c1316 A y = 11.84 lz+-95.775 -95.35...
please post answers as picture thanks
5 Listed below are the body lengths (in inches) and weights (im Ib) of randomly selected bears: Length40 64 65 49 47 Weight 65 356 316 94 86 a. Find the value of the linear correlation coefficient. b. Letting y represent weights of bears and letting x represent their lengths, find the regression equation. Based on the given sample data, what is the best predicted weight of a bear with a length of 72.0...
not ho chi 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 48 inches. Is the result close to the actual weight of 218 pounds? Use a significance level of 0.05. Chest size (inches) 58 49 58 43 46 57 Weight (pounds) 355 266 332 177 246 348 Click the icon to...
8. 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 40 inches. Is the result close to the actual weight of 392 pounds? Use a significance level of 0.05. Chest_size_(inches) Weight_ (pounds) 41 328 54 528 44 418 55 580 39 296 51 503 What is the regression equation? Ŷ=____+____x (Round to...
1)
2)
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 58 inches. Is the result close to the actual weight of 632 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 Weight (pounds) 384 580 542 358 306 320 Click the icon to view the critical...
Refer to the Minitab display below, which is based on a sample of 54 bears he regression equation is IGHT=-277-0.86 HEADLEN 0.53 LENGTH + 11.6 CHEST ictor Coef -277 -0.86 0.53 11.6 SE Coef 34.53 5.698 1.234 1.078 0.000 0.880 0.665 0.000 -8.02 -0.15 0.43 10.76 EADLEN ENGTH HEST A bear is found to have a head length of 13.0 inches, a length of 67.0 inches, and a chest size of 50.0 inches. a. Find the predicted weight of the...
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...
The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands): Cost 9 4 2 3 Number 85 68 53 55 Find the value of the linear correlation coefficient r. O 0.9703 O 0.708 O 0.235 O 0.246
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...