Question

In: Chemistry

a- When a subjects maximum oxygen consumption is known, we can predict his maximal steady state...

a- When a subjects maximum oxygen consumption is known, we can predict his maximal steady state running speed. estimate a runner's maxomal steady state speed for each of the following points: 40 ml.kg-1.min-1....46ml.kg-1.min-1...and 54 ml.kg-1.min-1

***I understand that you need the graph to answer the question but can I someone please point me in the right direction, not even sure where to start...thanks

fyi the graph has a strong, positive, linear relationship (if that helps)

Solutions

Expert Solution

40 ml.kg-1.min-1

Distance Predicted
time
Min
/mile
Age graded
percent
200 metres 00:46 06:11 41.9%
400 metres 01:35 06:21 45.6%
800 metres 03:18 06:39 51.0%
1 km 04:13 06:47 51.6%
1500 m 06:35 07:04 52.2%
1 mile 07:07 07:07 52.3%
2 km 09:02 07:16 52.4%
3 km 14:02 07:31 52.4%
2 miles 15:07 07:34 52.4%
5 km 24:06 07:45 53.7%
SRC Handicap 34:11 07:53 53.8%
8 km 39:30 07:57 53.8%
5 miles 39:44 07:57 53.8%
10 km 50:01 08:03 53.8%
12 km 01:00:43 08:08 53.6%
15 km 01:17:02 08:16 53.4%
10 miles 01:23:02 08:18 53.5%
20 km 01:44:45 08:26 53.4%
Half marathon 01:50:55 08:27 53.4%
25 km 02:12:50 08:33 53.4%
30 km 02:41:01 08:38 53.6%
20 miles 02:53:18 08:40 53.7%
40 km 03:37:19 08:44 54.2%
Marathon 03:49:37 08:45 54.4%
50 km 04:33:16 08:48 55.4%
50 miles 07:21:55 08:50 60.6%
100 km 09:09:35 08:51 n/a
150 km 13:44:30 08:51 n/a
100 miles 14:44:25 08:51 n/a
200 km 18:19:20 08:51 n/a

46ml.kg-1.min-1

Distance Predicted
time
Min
/mile
Age graded
percent
200 metres 00:41 05:31 47.0%
400 metres 01:24 05:38 51.3%
800 metres 02:56 05:53 57.6%
1 km 03:44 06:00 58.4%
1500 m 05:49 06:14 59.2%
1 mile 06:17 06:17 59.2%
2 km 07:59 06:25 59.3%
3 km 12:25 06:40 59.2%
2 miles 13:24 06:42 59.2%
5 km 21:24 06:53 60.4%
SRC Handicap 30:22 07:00 60.5%
8 km 35:04 07:03 60.6%
5 miles 35:17 07:03 60.6%
10 km 44:23 07:08 60.6%
12 km 53:51 07:13 60.4%
15 km 01:08:18 07:20 60.2%
10 miles 01:13:37 07:22 60.3%
20 km 01:32:54 07:28 60.2%
Half marathon 01:38:22 07:30 60.2%
25 km 01:57:53 07:35 60.2%
30 km 02:23:02 07:40 60.3%
20 miles 02:34:02 07:42 60.5%
40 km 03:13:26 07:47 60.9%
Marathon 03:24:29 07:48 61.1%
50 km 04:03:37 07:50 62.1%
50 miles 06:34:49 07:54 67.9%
100 km 08:11:11 07:54 n/a
150 km 12:17:02 07:54 n/a
100 miles 13:10:36 07:54 n/a
200 km 16:22:43 07:54 n/a

Related Solutions

Explain why the ability to increase stroke volume is important in determining maximal oxygen consumption.
Explain why the ability to increase stroke volume is important in determining maximal oxygen consumption.
In order to maximize the steady state level of consumption per worker, the Golden Rule steady...
In order to maximize the steady state level of consumption per worker, the Golden Rule steady state capital stock per worker (k*gold) satisfies the condition that the marginal productivity of capital at the k*gold capital level equals the depreciation rate . Graphically illustrate how to find the k*gold. (20 points)
Describe why oxygen consumption is an indirect measure of metabolism. How do we measure oxygen consumption...
Describe why oxygen consumption is an indirect measure of metabolism. How do we measure oxygen consumption and internally identify what fuel body is being used for exercise?
A Non-economic Example of Steady State: There is a well-known relationship between the amount of calories...
A Non-economic Example of Steady State: There is a well-known relationship between the amount of calories a person consumes and burns, and how much the person weighs. Consider the following relationship: Suppose calories consumed depends positively on the weight of a person (increases as weight increases) and is given by calories consumed Cc= 14+0.02 W, where W is the weight of the person in kilograms. Calories burned also rises with weight, that is Cb= 2 + 0.18 W. The relation...
Can we predict the running time for Mr. Degges when he runs 3.1 miles on the...
Can we predict the running time for Mr. Degges when he runs 3.1 miles on the track at the NDSU Wellness center? Need: SAS output to analyze the model Need: prediction equation y-hat SSE SST, error, F-test What variables are significant The variables are: Y = running time in minutes X1 = weight at the time of running X2 = number of days between running events Year X1 X2   Y 2009 191.2 1 29.0 2009 192 1   27.80 2009 190.4...
Suppose policy makers wish to increase steady state consumption per worker. Explain carefully and in detail...
Suppose policy makers wish to increase steady state consumption per worker. Explain carefully and in detail what must happen to the saving rate to achieve this objective. (Note: be careful to explore all possibilities). Show the evolution of consumption, investment and output over time.
from the laue condition explain why we can observe maximal peaks in the amplitude of the...
from the laue condition explain why we can observe maximal peaks in the amplitude of the diffracted wave
In his early work on the Citric Acid Cycle, Hans Krebs made measurements of oxygen consumption...
In his early work on the Citric Acid Cycle, Hans Krebs made measurements of oxygen consumption by suspensions of muscle cells. He found that addition of succinate, fumarate or malate to the cell suspension stimulated oxygen consumption, and that the amount of oxygen consumed was about 10-fold more than the amount needed for the complete oxidation of the added compound. Moreover, the succinate, fumarate or malate was not consumed by the cell suspension but was still detectable at the end...
. Suppose we started out at the steady state capital stock in the basic Solow growth...
. Suppose we started out at the steady state capital stock in the basic Solow growth model. If the government increased the budget deficit (ceteris paribus) with no effect on the demand for loanable funds from private businesses, then we would expect to see what effects on a. the nation’s capital stock as we move from the original steady state to the new one (and output per worker, y).
Can a low barometer reading be used to predict maximum wind speed of an approaching tropical...
Can a low barometer reading be used to predict maximum wind speed of an approaching tropical cyclone? For a random sample of tropical cyclones, let x be the lowest pressure (in millibars) as a cyclone approaches, and let y be the maximum wind speed (in miles per hour) of the cyclone. x 1004 975 992 935 979 926 y 40 100 65 145 82 153 (a) Make a scatter diagram of the data and visualize the line you think best...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT