Question
In: Statistics and Probability
The data show the list and selling prices for several expensive homes. Find the regression equation,...
The data show the list and selling
prices for several expensive homes. Find the regression
equation,
letting the the list price be the independent
(x)
variable. Find the best predicted selling price of a home having a
list price of
$22
million. Is the result close to the
actual selling price of
$2.22.2
million? Use a significance level of 0.05
list of price of millions of $- 1.6 4.2 2.1 1.6 2.3 4
selling price of millions of $ - 2 . 4.6 . 1.8 . 1.9 . 2.4 . 3.6
1. what is the regresstion equation? Y= __ +__x
2. if there is a linear equation use the regression equation as the predictor rounding to two decimal places
Solutions
orchestra answered 2 years agoRelated Solutions
The data show the list and selling prices for several expensive homes. Find the regression equation,...
The data show the list and selling prices for several expensive
homes. Find the regression equation, letting the the list price be
the independent (x) variable. Find the best predicted selling
price of a home having a list price of $2 million. Is the result
close to the actual selling price of $1.7 million? Use a
significance level of 0.05.
List price__Selling price
4.4_____4.7
2.1_____1.7
4.5______4
3.4______3
1.9_____1.7
2.2_____1.7
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:...
The data show systolic and diastolic blood pressure of certain people. A) Find the regression equation,...
The data show systolic and diastolic blood pressure of certain
people. A) Find the regression equation, letting the systolic
reading be the independent (x) variable. B) Find the best
predicted diastolic pressure for a person with a systolic reading
of 148. C)Is the predicted value close to 64.1, which was the
actual diastolic reading? Use a significance level of 0.05.
Systolic
139
112
113
150
129
112
128
139
Diastolic
102
83
57
87
72
80
67
74
10. The data show the bug chirps per minute at different temperatures. Find the regression equation,...
10. The data show the bug chirps per minute at different
temperatures. Find the regression equation, letting the first
variable be the independent (x) variable. Find the best predicted
temperature for a time when a bug is chirping at the rate of 3000
chirps per minute. Use a significance level of 0.05. What is wrong
with this predicted value?
Chirps in 1 min Temperature (°F)
985 83.8
1087 85.2
867 74.7
1060 83.2
764 64.9
807 65.5
What is the...
The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting...
The data show systolic and diastolic blood pressure of certain
people. Find the regression equation, letting the systolic reading
be the independent (x) variable. If one of these people has a
systolic blood pressure of 113mm Hg, what is the best predicted
diastolic blood pressure?
systolic: 150 129 142 112 134 122 126 120
diastolic: 88 96 106 80 98 63 95 64
y = _ + _X
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting...
The data show the bug chirps per minute at different
temperatures. Find the regression equation, letting the first
variable be the independent (x) variable. Find the best predicted
temperature for a time when a bug is chirping at the rate of 3000
chirps per minute. Use a significance level of 0.05. What is wrong
with this predicted value? Chirps in 1 min 1242, 1034, 1171, 799,
1217, 1060 Temperature (degreesF) 92.9, 77.2, 87, 73.7, 95.3,
80.1 What is the regression...
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