Question
In: Statistics and Probability
Here is a table of 15 individuals' heights and weights. Height (Inches) Weight (Pounds) 65.78 112.99...
Here is a table of 15 individuals' heights and weights.
| Height (Inches) | Weight (Pounds) |
| 65.78 | 112.99 |
| 71.52 | 136.49 |
| 69.4 | 153.03 |
| 68.22 | 142.34 |
| 67.79 | 144.3 |
| 68.7 | 123.3 |
| 69.8 | 141.49 |
| 70.01 | 136.46 |
| 67.9 | 112.37 |
| 66.78 | 120.67 |
| 66.49 | 127.45 |
| 67.62 | 114.14 |
| 68.3 | 125.61 |
| 67.12 | 122.46 |
| 68.28 | 116.09 |
A) Find the correlation coefficient. Round your answer to two decimal places.
B) This is statistically significant, at 0.05, so we can use it to make predications. Find the regression line if we want to predict weight based on knowing height. Round your answers to 2 decimal places.
C) What percent of variation in weight can be explained by variation in height?
Solutions
orchestra answered 1 year agoRelated Solutions
Here is a table of 15 individuals' heights and weights. Height (Inches) Weight (Pounds) 65.78 112.99...
Here is a table of 15 individuals' heights and weights.
Height (Inches)
Weight (Pounds)
65.78
112.99
71.52
136.49
69.4
153.03
68.22
142.34
67.79
144.3
68.7
123.3
69.8
141.49
70.01
136.46
67.9
112.37
66.78
120.67
66.49
127.45
67.62
114.14
68.3
125.61
67.12
122.46
68.28
116.09
A) Find the correlation coefficient. Round your answer to
two decimal places.
B) This is statistically significant, at 0.05, so we can use it
to make predications. Find the regression line if we want to
predict...
The following data was collected on the height (inches) and weight (pounds) of women swimmers. Height...
The following data was collected on the height (inches) and
weight (pounds) of women swimmers.
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...
The data set is height in inches and weight in pounds of random patients at the...
The data set is height in inches and weight in pounds of random
patients at the Dr's office.
Predict the
weight of a patient that is 67 inches tall.
Is
it possible to predict using linear regression? Support your
answer
Linear regression was completed with the following results:
Equation:
Weight =
-281.847 + 6.335*Height
p-value =
0.00161
Height
Weight
68
148
69
126
66
145
70
158
66
140
68
126
64
120
66
119
70
182
62
127
68...
Language C++ Ask the user to enter their weight (in pounds) and their height in inches....
Language C++
Ask the user to enter their weight (in pounds) and their height
in inches. Calculate their Body Mass Index (BMI) and tell them
whether they are underweight, overweight, or at optimal weight.
BMI formula: weight * 703 / (height * height)
Optimal weight is a BMI from 19 to 26. Lower is underweight,
higher is overweight.
Prompts:
Enter your weight (in pounds): [possible user input: 144]
Enter your height (in inches): [posible user input: 73]
Possible Outputs:
Your...
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...
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...
1-A regression analysis between weight (y in pounds) and height (x in inches) resulted in the...
1-A regression analysis between weight (y in pounds) and height
(x in inches) resulted in the following least squares line:
?̂=120+5? This implies that if the height is increased by 1 inch,
the weight is expected to:
A. increase by 5 pounds
B. increase by 24 pounds
C. increase by 1 pound
D. decrease by 1 pound
If the coefficient of correlation is -0.60, then the coefficient
of determination is:
A. 0.36
B. -0.36
C. -0.60
D. 0.40
2- For...
The following table lists the birth weights (in pounds), x, and the lengths (in inches), y,...
The following table lists the birth weights (in pounds), x, and
the lengths (in inches), y, f or a set of newborn babies at a local
hospital.
Births Weights and Lengths Birth Weight (in pounds), x-- 5 3 8 6
9 7 7 6 6 10
Length (in inches), y
-----------------------------------------16 15 18 19 19 18 20 17 15
21
Enter this information on your calculator and then answer the
following:
a. What kind of linear relationship seems to exist...
The following table lists the birth weight (in pounds), x, and the lengths (in inches),y, for...
The following table lists the birth weight (in pounds), x, and
the lengths (in inches),y, for a set of newborn babies at a local
hospital.
Birth Weight (in pounds), x
5
3
8
6
9
7
7
6
6
10
Length(in inches),y
16
15
18
19
19
18
20
17
15
21
Enter this information on your calculator and then answer the
following:
(A) What kind of linear relationship seems to exist between
birth weights of newborn babies and their...
The heights and weights of 15 randomly selected adult men are shown in the table. Use...
The heights and weights of 15 randomly selected adult men are
shown in the table. Use α = .05 .
Ht (in.) 73 70 73 72 68 72 68 70 68 67 72 70 65 74 70
Wt (lbs.) 185 155 195 164 145 185 170 150 180 175 175 147 140 210 200
State the conclusion in words.
There is not sufficient sample evidence to support the claim of
linear correlation.
The sample data support the claim of linear...
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