Question
In: Statistics and Probability
Because elderly people may have difficulty standing to have their height measured, a study looked at...
Because elderly people may have difficulty standing to have their height measured, a study looked at the relationship between overall height and height to the knee. Here are data (in centimeters) for five elderly men: Knee Height x 57.2 45.7 42.9 45.6 52.4 Height y 191.6 153.7 145.2 163.6 174.3 What is the equation of the least-squares regression line for predicting height from knee height? ANSWER: ŷ =
Solutions
orchestra answered 1 year agoRelated Solutions
Because elderly people may have difficulty standing to have their height measured, a study looked at...
Because elderly people may have difficulty standing to have
their height measured, a study looked at the relationship between
overall height and height to the knee. Here are data (in
centimeters) for five elderly men: Knee Height ? 56.5 46.3 41.2
47.7 52.7 Height ? 192.4 151.8 149.7 162.1 174.5 What is the
equation of the least-squares regression line for predicting height
from knee height? ANSWER: ?̂ =
Does knee height predict overall height? Since elderly people may have difficulty standing to have their...
Does knee height predict overall height? Since elderly people
may have difficulty standing to have their heights measured, a
study looked at predicting overall height (y) in centimeters, from
height to the knee (x) in centimeters. Use this data to answer the
following questions.
Data looking at knee height (in cm) and overall height
(in cm)
Knee
Height (cm)
57.70
47.40
43.50
44.80
55.20
54.60
Overall Height (cm)
192.10
153.30
146.40
162.70
169.10
177.80
What is the mean x and...
Does knee height predict overall height? Since elderly people may have difficulty standing to have their...
Does knee height predict overall height? Since
elderly people may have difficulty standing to have their heights
measured, a study looked at predicting overall height (y) in
centimeters, from height to the knee (x) in centimeters. Use this
data to answer the following questions.
Data looking at knee height (in cm) and overall height
(in cm)
Knee
Height (cm)
57.70
47.40
43.50
44.80
55.20
54.60
Overall Height (cm)
192.10
153.30
146.40
162.70
169.10
177.80
What is the mean x and...
Because some people are unable to stand to have their height measured, doctors use the height...
Because some people
are unable to stand to have their height measured, doctors use the
height from the floor to the knee to approximate their patients’
height (in cm).
Height of Knee
Overall Height
57.7
192.3
47.5
153.3
43.5
146.2
44.8
160.4
55.6
171.4
54.9
176.7
a. Use Excel to
determine the correlation coefficient of this data
b. Use Excel to
determine the regression equation of this data
c. Find the overall
height from a knee height of 45.3 cm...
Because some people are unable to stand to have their height measured, doctors use the height...
Because some people are unable to stand to have their height
measured, doctors use the height from the floor to the knee to
approximate their patients’ height (in cm).
Height of Knee
Overall Height
57
192
47
153
43
146
44
160
55
171
54
176
a. Use Excel to determine the correlation coefficient of this
data
b. Use Excel to determine the regression equation of this
data
c. Find the overall height from a knee height of 45.3 cm...
1. A study was done by ValuePenguin in May 2020, that looked at the average credit...
1. A study was done by ValuePenguin in May 2020, that looked at
the average credit cards debt of Americans. Suppose they found that
the credit card debts are normal distributed with a mean of $5,700
and the standard deviation σ = $1,850.
probability that a randomly selected consumer will have a
credit card debt of more than $5,000.
probability that, if 30 randomly selected consumers are
selected, their sample mean credit card debt will be more than
$5,000.
why...
A study in Sweden looked at former elite soccer players and people of the same age...
A study in Sweden looked at former elite soccer players and
people of the same age who did not play soccer. The table below
shows the number of individuals in each group who had arthritis of
the hip or knee by their mid-50’s. At α = .05, is the occurrence of
arthritis related to playing soccer? Use the p-value method.
Elite
Non-elite
Did Not Play
Totals
Arthritis
10
9
24
43
No Arthritis
61
206
548
815
Totals
71
215...
Question Preface: Julie, a Physics major, has difficulty believing that psychology is a science, because people...
Question Preface: Julie, a Physics
major, has difficulty believing that psychology is a science,
because people cannot observe other people's thoughts and
sensations.
Primary Post:In your own words, explain how
Edward Titchener and John Watson would have responded to Julie's
skepticism regarding psychology's scientific status.
Secondary Post: In your own
words, explain the difference between correlational and
experimental research.
Reply Post: Make a substantive reply to at
least one peer that demonstrates your ability to discuss and
analyze the content...
A cigar company stocks Cuban cigars that have variable lead times because of the difficulty in...
A cigar company stocks Cuban cigars that have variable lead times because of the difficulty in importing the product. Lead time is normally distributed with an average of 6 weeks and a standard deviation of 2 weeks. Average demand is also normally distributed with a mean of 200 cigars per week and a standard deviation of 25 cigars. a. For a 98% service level, what is the ROP? b. What is the ROP for a 90% service level? c. Explain what these two...
In a study on the physical activity of people, researchers measured overall physical activity as the...
In a study on the physical activity of people, researchers
measured overall physical activity as the total number of
registered movements (counts) over a period of time and then
computed the number of counts per minute (cpm) for each subject.
The study revealed that the overall physical activity of obese
people has a mean of μ=322cpm and a standard deviation σ=92cpm. In
a random sample of 100 obese people, consider x ̅, the sample mean
counts per minute.
Now suppose...
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