Question
In: Statistics and Probability
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 equation? ModifyingAbove y with caret equals nothing plus nothing x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
Solutions
Expert Solution
solution:
The regression equation is Y = 31.55 + 0.0486X (rounded)
orchestra answered 1 year agoRelated Solutions
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...
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
1133
1037
1230
854
1157
894
Temperature
(degrees°F)
85.4
86.6
92.1
74.2
85.5
79.5
What is the regression...
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 810 1149 841 1013 863
930 Temperature (degreesF) 68.2 88.3 73.5 84.6 75.6 74.3 What is
the regression...
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
758
1226
1021
1221
1182
1178
Temperature
(degrees°F)
65.1
92.8
84.3
94.9
85.5
91.2
What is the regression...
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: 955 1190 1206 804 1230 770
Temp F : 82.5 86.3 87.4 74.7 90.9 70.2
A) What is...
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 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)...
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