(a).
\Observe the table: \ \
\Plot the points using excel sheet method.
\Observe the graph :
\The data appears to have a positive linear correlation.
\(b).
\.
The correlation coefficient indicates that the data have a strong positive linear corelation.
\Since and
, the statistic falls within the critical region and the null hypothesis is rejected.
Therefore, the correlation is significant at the level.
(c).
\, a slope
indicates that for each additional year, the life expectency will increase by a rate of
per year.
The -intercept
indicates that in
, the average life expectency will be approximately
.
(d).
\By using the regression model the average life expecentency in is
, which is probably not reasonable.
(a)
\(b)
\ The correlation is significant at the level.
(c)
\In , the average life expectency will be approximately
.
(d)
\The average life expecentency in is
, which is probably not reasonable.