(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.