\"\"

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The winning heights for the men\"\"s Olympic pole vault competitions are observed in

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the table up to the year \"\".

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Consider the years as \"\" and men\"\"s height as \"\".

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(a)

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(1) Draw the coordinate plane.

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(2) \"\"axis: Years as \"\".

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(3) \"\"axis: men\"\"s height as \"\".

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(4) Plot the data of values in the plane.

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\"\"

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Observe the graph:

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The linear model is appropriate.

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\"\"

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(b)

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Regression line:

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The process of data points and coming up with an equation is called regression,

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and the graph of the regression equation is called regression line.

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The equation for linear regression is \"\".

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Where \"\" and \"\".

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Now calculate the values for \"\" and \"\".

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The winning heights for the men\"\"s Olympic pole vault competitions

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can be tabulated as shown below:

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In below table the starting year treated as \"\".

\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \
S.noYears \"\"Height \"\"\"\"\"\"\"\"
11896 \"\" \"\" 0 0 10.89
21900 \"\" \"\" 13.2 16 10.89
31904 \"\" \"\" 28 64 12.25
41908 \"\" \"\" 44.52 144 13.76
51912 \"\" \"\" 63.2 256 15.60
61920 \"\" \"\" 98.16 576 16.72
71924 \"\" \"\" 110.6 784 15.60
81928 \"\" \"\" 134.4 1024 17.64
91932 \"\" \"\" 155.16 1296 18.57
101936 \"\" \"\" 174 1600 18.92
111948 \"\" \"\" 223.6 2704 18.49
121952 \"\" \"\" 254.8 3136 20.70
131956 \"\" \"\" 273.6 3600 20.79
141960 \"\" \"\" 300.8 4096 22.09
151964 \"\" \"\" 346.8 4624 26.01
161968 \"\" \"\" 388.8 5184 29.16
171972 \"\" \"\" 428.64 5776 31.80
181976 \"\" \"\" 451.2 6400 31.80
191980 \"\" \"\" 485.52 7056 33.40
201984 \"\" \"\" 506 7744 33.06
211988 \"\" \"\" 542.8 8464 34.81
221992 \"\" \"\" 563.52 9216 34.45
231996 \"\" \"\" 592 10000 35.04
242000 \"\" \"\" 613.6 10816 34.81
252004 \"\" \"\" 642.6 11664 35.40
\"\" 1400 129.32 7435.52 106240 592.65
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Observe the table:

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\"\", \"\", \"\", \"\", \"\".

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The number of samples are \"\".

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\"\"

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\"\"

\