Question
In: Statistics and Probability
Running times (Y) and maximal aerobic capacity (X) for 14 female Runners. Data collected for running...
Running times (Y) and maximal aerobic capacity (X) for 14
female
Runners. Data collected for running times and maximal aerobic
capacity are listed
below
X: 61.32 55.29 52.83 57.94 53.31 51.32 52.18 52.37 57.91 53.93
47.88 47.41
47.17 51.05
Y: 39.37 39.80 40.03 41.32 42.03 42.37 43.93 44.90 44.90 45.12
45.60 46.03
47.83 48.55
(a) Calculate the mean, median, MAD, MSD, and standard deviation
for each
variable. ? [Include all your steps and explain all the steps
involved in details]
(b) Which of these statistics give a measure of the center of data
and which give a
measure of the spread of data? [Explain in your own words]
(c) Calculate the correlation of the two variables and pro-duce a
scatterplot of Y
against X. [Use excel for scatterplot, show all your computations
concerning
the correlation and explain all your steps]
(d) Why is it inappropriate to calculate the autocorrelation of
these data? [Explain in
your own words]
Solutions
orchestra answered 1 year agoRelated Solutions
Running times (Y) and maximal aerobic capacity (X) for 14 female Runners. Data collected for running...
Running times (Y) and maximal aerobic capacity (X) for 14 female
Runners. Data collected for running times and maximal aerobic
capacity are listed below X: 61.32 55.29 52.83 57.94 53.31 51.32
52.18 52.37 57.91 53.93 47.88 47.41 47.17 51.05 Y: 39.37 39.80
40.03 41.32 42.03 42.37 43.93 44.90 44.90 45.12 45.60 46.03 47.83
48.55 (a) Calculate the mean, median, MAD, MSD, and standard
deviation for each variable. ? [Include all your steps and explain
all the steps involved in details]...
Running times (Y) and maximal aerobic capacity (X) for 14 female Runners. Data collected for running...
Running times (Y) and maximal aerobic capacity (X) for 14
female
Runners. Data collected for running times and maximal aerobic
capacity are listed
below
X: 61.32 55.29 52.83 57.94 53.31 51.32 52.18 52.37 57.91 53.93
47.88 47.41
47.17 51.05
Y: 39.37 39.80 40.03 41.32 42.03 42.37 43.93 44.90 44.90 45.12
45.60 46.03
47.83 48.55
(a) Calculate the mean, median, MAD, MSD, and standard deviation
for each
variable. ? [Include all your steps and explain all the steps
involved in details]...
Running times (Y) and maximal aerobic capacity (X) for 14 female Runners. Data collected for running...
Running times (Y) and maximal aerobic capacity (X) for 14
female
Runners. Data collected for running times and maximal aerobic
capacity are listed below
X: 61.32 55.29 52.83 57.94 53.31 51.32 52.18 52.37 57.91 53.93
47.88 47.41 47.17 51.05
Y: 39.37 39.80 40.03 41.32 42.03 42.37 43.93 44.90 44.90 45.12
45.60 46.03 47.83 48.55
(a) Calculate the mean, median, MAD, MSD, and standard deviation
for each variable. ? [Include all your steps and explain all the
steps involved in details]...
You have been contracted by a triathlete to determine their maximal aerobic capacity. As the athlete...
You have been contracted by a triathlete to determine their
maximal aerobic capacity. As the athlete arrived at your
laboratory, you realized that your metabolic chart had stopped
functioning, and you need to measure blood gasses to perform the
test. The data you obtain are as follow:
-Age: 35 years old
-Height: 1.75m
-Weight: 73kg
-Speed at VO2max: 16.2 km/h
-Heart Rate at VO2max: 192 bpm
-End Diastolic Volume: 242mL
-End Systolic Volume: 90mL
-Hemoglobin concentration: 163g/L (16.3 g/100mL)
-Arterial...
Eight runners were convinced that the average difference in their individual times for running one mile...
Eight runners were convinced that the average difference in
their individual times for running one mile versus race walking one
mile was at most 2 minutes. Below are their times. Do you agree
that the average difference is at most 2 minutes? Conduct a
hypothesis test at the 5% level.
Running
time (minutes)
Race
walking time (minutes)
5.3
7.5
5.7
9.5
6.2
10.2
4.8
6.9
7.1
8.9
4.2
9.5
6.1
9.4
4.4
7.9
NOTE: If you are using a Student's...
Data can be collected and organized as an ordered pair (x, y). The data can be...
Data can be collected
and organized as an ordered pair (x, y). The data can be analyzed
to determine the type and strength of a correlation and to
calculate a regression line in order to make a prediction.
Use the internet to
find a data set of ordered pairs. Key terms to search: Free Public
Data Sets and Medical Data Sets.
Create a Post:
Introduce your Data
Set.
Which would be the independent variable, and which would be the
dependent...
A sales manager collected the following data on x = years of experience and y =...
A sales manager collected the following data on x =
years of experience and y = annual sales ($1,000s). The
estimated regression equation for these data is
ŷ = 83 + 4x.
Salesperson
Years of
Experience
Annual Sales
($1,000s)
1
1
80
2
3
97
3
4
102
4
4
107
5
6
103
6
8
116
7
10
119
8
10
123
9
11
127
10
13
136
(a)
Compute SST, SSR, and SSE.
SST=SSR=SSE=
(b)
Compute the coefficient...
A sales manager collected the following data on x = years of experience and y =...
A sales manager collected the following data on x =
years of experience and y = annual sales ($1,000s). The
estimated regression equation for these data is
ŷ = 82 + 4x.
Salesperson
Years of
Experience
Annual Sales
($1,000s)
1
1
80
2
3
97
3
4
102
4
4
107
5
6
103
6
8
101
7
10
119
8
10
128
9
11
127
10
13
136
(a)
Compute SST, SSR, and SSE.
SST=SSR=SSE=
(b)
Compute the coefficient...
The following rate data was collected for a reaction X + Y -> Products Exp. ...
The following rate data was collected for a reaction X + Y ->
Products
Exp.
[X]
[Y]
Rate of formation of a product
1
0.23
M
0.17
M
0.33
M/h
2
0.46
M
0.17
M
0.66 M/h
3
0.23
M
0.51
M
0.99 M/h
a. Determine the orders with respect to the two reactants and
write the rate law for the reaction
b. Calculate the value...
The data below shows the high temperatures and the times (in minutes) runners who won a...
The data below shows the high temperatures and the times (in
minutes) runners who won a marathon. Answer parts a-c.
Temperature (x)
5858
63
50
62
72
73
50
57
Time (y)
1145.882
146.683
145.931
146.604
147.965
144.267
148.503
147.643
a. Find the value of the linear correlation coefficient r.
b. Find the critical values of r from the table showing the
critical values for the Pearson correlation coefficient using
alpha=0.05
c. Is there sufficient evidence to conclude that there...
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