# Gold Medal Heights Essay Sample

The high leap has and ever will be a athletics of the Olympics. Athletes of the high leap push themselves harder and harder to accomplish their best. physically possible leap tallness in readying for viing in the Olympic games. With the usage of the best–fit graph. this study will analyze the high leaps over legion Olympic old ages every bit good as for height anticipations in the close hereafter.

Below is the tabular array of leap highs from the Olympic games between 1932 and 1980:

Year| 1932| 1936| 1948| 1952| 1956| 1960| 1964| 1968| 1972| 1976| 1980| Height ( centimeter ) | 197| 203| 198| 204| 212| 216| 218| 224| 223| 225| 236|

This graph demonstrates the relationship between the old ages ( the x–axis ) and the leap highs ( the y–axis ) of the gold medallists in the Olympic games between 1932 and 1980. If the existent value of the old ages were applied into the graph without any alteration. it would hold been excessively broad and complicated to show the information. Therefore. to do things simpler. I decided to take each year’s foremost two figures.

e. g. ) 1932 = 32

With the usage of the expression Y = maxwell + c. the parametric quantities are thousand and degree Celsius.

One restraint of this undertaking is that two informations points on the graph were removed from the regular form. intending that two possible informations points were eliminated that may hold contributed with the informations aggregation. This was due to World War I ; two Olympics were cancelled ( 8 old ages ) which negatively affected leap tallness betterment doing 1948’s gilded medallist to hold a lower leap height than 1936’s gilded medallist. Another restraint is that there are no negative old ages ( x & gt ; 0. Y & gt ; 0 ) .

The map that best theoretical accounts the behaviour of the graph would be a additive map due to the fact that a best–fit line on the graphing plan about resembles a consecutive line. Therefore. as said earlier. I will be utilizing the equation Y = maxwell + degree Celsius.

By manually pulling in a consecutive line that I believe best–fits the graph. I have found two easy points ( the blue points on the graph ) that allow me to happen the incline ( m ) for the equation Y = maxwell + degree Celsius.

Slope = ( y2 – y1 )

( x2 – x1 )

Slope = ( 230 – 200 )

( 75 – 42. 5 )

Slope = ( 30 )

( 32. 5 )

Slope = 0. 92

Y = 0. 92x + degree Celsius

230 = 0. 92 ( 75 ) + degree Celsius

degree Celsiuss = 230 – 0. 92 ( 75 )

degree Celsiuss = 161

? Y = 0. 92x + 161

The graph above shows the comparing between the line of best tantrum ( orange ) and my ain theoretical account ( bluish ) . There is an intersection between the two lines but over all. the two are similar. As shown. the two lines cross over the y–axis at the difference of 10 merely that they lean into the points at different angles. Obviously. the fact that my theoretical account was human–made as I saw tantrum. it is better to trust on the orange line. However. based off the dramatic 9 cm addition from the 1980 Olympics high leap gold medallist. I believe that my graph has a little more truth to it. but at the same clip. worlds have their physical restrictions so a gradual addition ( the orange best–fit line ) may besides be accurate. Therefore I will polish my graph by redrawing and gauging a line between the two.

Refined graph: ( black line )

I so must refashion the equation to input into the charting package from the estimated black points.

Slope = ( y2 – y1 )

( x2 – x1 )

Slope = ( 190 – 170 )

( 30 – 5 )

Slope = ( 20 )

( 25 )

Slope = 0. 8

Y = 0. 8x + degree Celsius

190 = 0. 8 ( 30 ) + degree Celsius

degree Celsiuss = 190 – 0. 8 ( 30 )

degree Celsiuss = 166

? Y = 0. 8x + 166

Another similar map to my redefined additive map is the exponential

map where:

Y = vitamin E ( ax + B )

In this instance. y = vitamin E ( 0. 0035x + 5. 1585 )

The exponential map ( orangish line ) intersects the y–axis 7 units higher than my redefined line ( black line ) but as the two intersect. they fundamentally lie on top of each other holding about equal values from ( 55. 210 ) onwards. To happen the values of the leap highs on 1940 and 1944. I will utilize the exponential map from the graph earlier: Y = vitamin E ( 0. 0035x + 5. 1585 ) .

On 1940:

ten = 40

Y = vitamin E ( ( 0. 0035 ( 40 ) + 5. 1585 ) )

Y = vitamin E ( 0. 14 + 5. 1585 )

Y = vitamin E ( 5. 2985 )

Y = 200. 04

? Y = 200 centimeter

On 1944:

ten = 44

Y = vitamin E ( ( 0. 0035 ( 44 ) + 5. 1585 ) )

Y = vitamin E ( 0. 154 + 5. 1585 )

Y = vitamin E ( 5. 3125 )

Y = 202. 85

? Y = 203 centimeter

If the Olympic high leap continued on these two Olympic old ages. it will show that gold medallists will leap with a 3 centimeter leap height addition on every Olympic twelvemonth. which I believe is an accurate appraisal. Year| 1932| 1936| 1940| 1944| 1948| 1952| 1956| 1960| 1964| 1968| 1972| 1976| 1980| Original Height ( centimeter ) | 197| 203| N/A| N/A| 198| 204| 212| 216| 218| 224| 223| 225| 236| EstimatedHeight ( centimeter ) | 197| 200| 203| 206| 209| 212| 215| 218| 221| 224| 227| 230| 233|

Based off my theoretical account earlier where Y = 0. 8x + 166. I will foretell the winning highs for 1984 and 2016.

On 1984:

ten = 84

Y = 0. 8 ( 84 ) + 166

Y = 67. 2 + 166

Y = 233. 2

? Y = 233 centimeter

On 2016:

ten = 106

Y = 0. 8 ( 106 ) + 166

Y = 84. 8 + 166

Y = 250. 8

? Y = 251 centimeter

If the leap tallness were to be predicted as 233 centimeter on 1984. so there would hold been a 3 centimeter lessening compared to the 1980s consequence. However. a leap tallness of 251 centimeter seems plausible for the 2016 gold medallist due to the fact that that tallness is still a sensible leap height that can be achieved by the best of jocks.

Below shows a tabular array of all other winning jump highs of the Olympic Games since 1896: Year| 1896| 1904| 1908| 1912| 1920| 1928| 1984| 1988| 1992| 1996| 2000| 2004| 2008| Height ( centimeter ) | 190| 180| 191| 193| 193| 194| 235| 238| 234| 239| 235| 236| 236|

On the graph above. new informations points were placed where 1900 = 0. so that the graph will non be excessively wide for analysing graphs.

Since 1900 = 0. 1896 = –4 and 2008 = 108

With my theoretical account ( y = 0. 8x + 166 ) . there is a clear difference that my theoretical account does non suit the extra information good. This is due to the legion fluctuations of the information points.

Based on the information points on the graph above. there are important fluctuations. For illustration. a 10 centimeter lessening between 1896 and 1904 or the 5 centimeter bead in the 12 old ages from 1936 and 1948. M. F. Hoirne introduced the “western roll” to the 1936 Olympics that genuinely influenced the high leap of today. If there was no World War I. who knows how much the high leaps may hold improved. The points where there is good. steady betterment are from 1948 to 2008. We can presume that more high leap techniques were discovered to better the consequences more and more every Olympics.

For illustration. in 1956. the western axial rotation was upgraded so that their abdomens rotate towards the saloon as they jumped. Mastering this new and improved western axial rotation allowed a steady addition over 4 Olympic gamess ( 1948 to 1960 ) . Subsequently on. cushiony floor mats were introduced to the Olympics alternatively of the old–fashioned sawdust. Due to this alteration. the jocks did non hold to worry about acquiring hurts as much. which allowed the development of new techniques. The most important technique developed that influences the jocks of today was the Fosbury Flop introduced by Dick Fosbury on 1968. It is the ground why 1968’s record is higher than 1972’s record. so we can presume that it took a just sum of clip for jocks to get the hang it. which may explicate the dramatic 11 cm addition from 1976 to 1980.

To modify my theoretical account. I would hold used a sine map graph as shown above. where:

Y = a wickedness ( bx + degree Celsius ) + vitamin D

In this instance. y = 24. 6776sin ( 0. 0324x + 4. 4529 ) + 212. 9337

From the charting package that I used. this type of map seems to accommodate the overall informations better than the estimated version I used earlier.