Question
In: Statistics and Probability
Information is taken about wild bears and their size. Find the equation of the regression line....
Information is taken about wild bears and their size.
Find the equation of the regression line. Let y equal weight and x equal chest size.
|
Chest |
Weight |
|---|---|
|
26 |
80 |
|
45 |
344 |
|
54 |
416 |
|
49 |
348 |
|
35 |
166 |
|
41 |
220 |
|
41 |
262 |
|
49 |
360 |
|
38 |
204 |
The equation of the regression line is ____
(Round to the nearest tenth as needed.)
Solutions
orchestra answered 2 years agoRelated Solutions
The data show the chest size and weight of several bears. Find the regression equation, letting...
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 51 inches. Is the result close to the actual weight
of 342 pounds? Use a significance level of 0.05.
Chest size (inches)
45
50
43
43
52
52
Weight (pounds)
352
374
275
314
440
367
What is the regression equation? y=___+___x (round...
The data show the chest size and weight of several bears. Find the regression equation, letting...
The data show the chest size and weight of several bears. Find
the regression equation, letting the first variable be the
independent (x) variable. Then find the best predicted weight of a
bear with a chest size of 41 inches. Use a significance level of
0.05.
Chest size (inches) Weight (pounds)
40 227
53 360
38 153
43 206
44 234
58 414
What is the regression equation?
What is the best predicted value?
The data show the chest size and weight of several bears. Find the regression equation, letting...
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 50 inches. Is the result close to the actual weight
of 427 pounds? Use a significance level of 0.05.
Chest_size_(inches) Weight_ (pounds)
49 368
51 382
53 420
61 481
57 457
45 287
What is the regression equation?
What is the best...
The data show the chest size and weight of several bears. Find the regression equation, letting...
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 51 inches. Is the result close to the actual weight
of 585 pounds? Use a significance level of 0.05.
Chest size (inches) 47 46 49 50 38 48
Weight (pounds) 487 496 546 518 397 510
a) what is the regression equation?
b)...
The data show the chest size and weight of several bears. Find the regression equation, letting...
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
3939
inches. Is the result close to the actual weight of
126126
pounds? Use a significance level of 0.05.
Chest size (inches)
44
41
41
55
51
42
Weight (pounds)
213
206
176
309
300
178
n
alphaαequals=0.05
alphaαequals=0.01
NOTE: To test
H0:...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.) Then
use the regression equation to predict the value of y for each of
the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height : 772, 628, 518, 508, 496, 483,
y:...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city. Height comma x 762 621 515 508 491 480...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height comma xHeight, x
766766
620620
520520
508508
494494...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below. font size decreased by 1 font size increased by...
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