Without getting much into conclusions that can be drawn from correlation coefficients, I wanted to point out a few things about sample size...
10% of people are left-handed.
https://www.huffingtonpost.com/2012/10/29/left-handed-facts-lefties_n_2005864.html
That means, unless you have specific data stating otherwise, it is likely that this hypothetical study sampled 36 right-handed people and 4 left-handed people. The sampled ages of 4 left-handed people will tell you basically nothing about their mortality rate. The difference in longevity between left-handed and right-handed people is probably not very high, so accurately approximating the difference would require quite a high sample size of each population (probably about 100-300 of each). For further reading, see how to select sample size based on standard error (if it is known or can be reasonably estimated) and confidence level.
There is also an experimental design error. Taking a survey of the ages of a few living people doesn't give a very good estimation of the life expectancy of these populations. If you went to the morgue and surveyed the age of the last N people who died, you would be somewhat closer to having an accurate measure of life expectancy.
You also made a serious error in how you worded your conclusion, which others have pointed out.
Also, this is far beyond the scope of the pure math that you're being tested on, but it happens that the left-handed portion of the population declined to about 3% during the Victorian era, before rising back up to 10% in the present. This could be largely because people of the time were pressured to become right-handed, and could also correlate to the design of industrial tools of the time. Correlation doesn't necessarily imply causation, and the most common reason why is that there might be a third variable that is unnaturally forcing the correlation. In this case, the life expectancy of people living in the present may not vary greatly between the left-handed and right-handed; but lack of knowledge about historical context might increase the likelihood of making a correlation = causation mistake, or historical data might imply a difference in life expectancy that once existed but now does not.
https://www.snopes.com/fact-check/left-hand-right-hand-death/