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Question
In: Mechanical Engineering
Express your height in the units of inches, feet, and meters.
Express your height in the units of inches, feet, and meters.
Solutions
Expert Solution
Height when checked with the help of a ruler is 6 ft.
Therefore, the height in the units of feet, h is 6ft.
Calculate the height in inches,
1 feet = 12 inches
Therefore, the height h = (6 ft) × (12 in./ft)
= 72 in.
Therefore, the height in the units of inches, h is 72 in.
From the table “Conversion factors between certain quantities in the USCS and SI” for length the relationship between meter and feet as follows,
1 ft = 0.3048m
Therefore, the height h = (6 ft) × (0.3048/1 m/ft)
= 1.8288m
Therefore, the height in the units of meters, h is 1.8288m.
Therefore, the height in the units of meters, h is 1.8288m.
Junaid answered 2 years agoRelated Solutions
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What is your height in inches?
What is your weight
in pounds?
What is your
cumulative Grade Point Average (GPA) at FTCC or your primary
college?
How many hours do you
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1
67
100
4
7
2
62
105
4
5
3
72
120
4
8
4
61
125
4
7
5
56
105
3.7
6
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120
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3.8
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8
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Student What is your height in inches? What is your weight in pounds? What is your...
Student
What is your height in inches?
What is your weight
in pounds?
What is your
cumulative Grade Point Average (GPA) at FTCC or your primary
college?
How many hours do you
sleep each night?
1
67
100
4
7
2
62
105
4
5
3
72
120
4
8
4
61
125
4
7
5
56
105
3.7
6
6
61
120
4
7
7
65
172
3.8
7
8
72
235
3.22
5
9
63
135
4
6...
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Express the answer with the appropriate number of significant
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Express your weight in the units of pounds and newtons, and your mass in the units of slugs and kilograms.
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and propagates directly downward toward the base. The base is lined
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The following data was collected on the height (inches) and
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Height
Weight
68
132
64
108
62
102
65
115
66
128
Provide a regression analysis from the height and weight
data.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.9603
R Square
0.9223
Adjusted R Square
0.8963
Standard Error
4.1231
Observations
5
ANOVA
df
SS
MS
F
Significance F
Regression
1
605
605
35.5882
0.0094
Residual
3
51
17
Total
4
656
Coefficients
Standard Error
t...
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