\"\"

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(a).

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Observe the table: \ \

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Plot the points using excel sheet method.

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\"\"

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Observe the graph :

\

The data appears to have a positive linear correlation.

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\"\"

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(b).

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\"\".

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The correlation coefficient indicates that the data have a strong positive linear corelation.

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Since \"\" and \"\", the statistic falls within the critical region and the null hypothesis is rejected.

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Therefore, the correlation is significant at the \"\" level.

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\"\"

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(c).

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\"\", a slope \"\" indicates that for each additional year, the life expectency will increase by a rate of \"\" per year.

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The \"\"-intercept \"\" indicates that in \"\", the average life expectency will be approximately \"\".

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\"\"

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(d).

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By using the regression model the average life expecentency in \"\" is \"\", which is probably not reasonable.

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\"\"

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(a)

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\"\"

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(b)

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The correlation is significant at the \"\" level.

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(c)

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In \"\", the average life expectency will be approximately \"\".

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(d)

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The average life expecentency in \"\" is \"\", which is probably not reasonable.