The winning heights for the men
s Olympic pole vault competitions are observed in
the table up to the year
.
Consider the years as
and men
s height as
.
(a)
\(1) Draw the coordinate plane.
\(2)
axis: Years as
.
(3)
axis: men
s height as
.
(4) Plot the data of values in the plane.
\
Observe the graph:
\The linear model is appropriate.
\(b)
\Regression line:
\The process of data points and coming up with an equation is called regression,
\and the graph of the regression equation is called regression line.
\The equation for linear regression is
.
Where
and
.
Now calculate the values for
and
.
The winning heights for the men
s Olympic pole vault competitions
can be tabulated as shown below:
\In below table the starting year treated as
.
| S.no | \Years ![]() | \
Height ![]() | \
![]() | \
![]() | \
![]() | \
| 1 | \1896 ![]() | \
![]() | \
0 | \0 | \10.89 | \
| 2 | \1900 ![]() | \
![]() | \
13.2 | \16 | \10.89 | \
| 3 | \1904 ![]() | \
![]() | \
28 | \64 | \12.25 | \
| 4 | \1908 ![]() | \
![]() | \
44.52 | \144 | \13.76 | \
| 5 | \1912 ![]() | \
![]() | \
63.2 | \256 | \15.60 | \
| 6 | \1920 ![]() | \
![]() | \
98.16 | \576 | \16.72 | \
| 7 | \1924 ![]() | \
![]() | \
110.6 | \784 | \15.60 | \
| 8 | \1928 ![]() | \
![]() | \
134.4 | \1024 | \17.64 | \
| 9 | \1932 ![]() | \
![]() | \
155.16 | \1296 | \18.57 | \
| 10 | \1936 ![]() | \
![]() | \
174 | \1600 | \18.92 | \
| 11 | \1948 ![]() | \
![]() | \
223.6 | \2704 | \18.49 | \
| 12 | \1952 ![]() | \
![]() | \
254.8 | \3136 | \20.70 | \
| 13 | \1956 ![]() | \
![]() | \
273.6 | \3600 | \20.79 | \
| 14 | \1960 ![]() | \
![]() | \
300.8 | \4096 | \22.09 | \
| 15 | \1964 ![]() | \
![]() | \
346.8 | \4624 | \26.01 | \
| 16 | \1968 ![]() | \
![]() | \
388.8 | \5184 | \29.16 | \
| 17 | \1972 ![]() | \
![]() | \
428.64 | \5776 | \31.80 | \
| 18 | \1976 ![]() | \
![]() | \
451.2 | \6400 | \31.80 | \
| 19 | \1980 ![]() | \
![]() | \
485.52 | \7056 | \33.40 | \
| 20 | \1984 ![]() | \
![]() | \
506 | \7744 | \33.06 | \
| 21 | \1988 ![]() | \
![]() | \
542.8 | \8464 | \34.81 | \
| 22 | \1992 ![]() | \
![]() | \
563.52 | \9216 | \34.45 | \
| 23 | \1996 ![]() | \
![]() | \
592 | \10000 | \35.04 | \
| 24 | \2000 ![]() | \
![]() | \
613.6 | \10816 | \34.81 | \
| 25 | \2004 ![]() | \
![]() | \
642.6 | \11664 | \35.40 | \
![]() | \
1400 | \129.32 | \7435.52 | \106240 | \592.65 | \
Observe the table:
\
,
,
,
,
.
The number of samples are
.

