A Correlation coefficient is used to measure how strong a relationship is between two variables. There are several types of the correlation coefficient, but the most popular is Pearson’s. Pearson’s correlation (also called Pearson’s R) is a correlation coefficient commonly used in linear regression.
R can take a value between -1 and 1, if R is;
1, we say that there is a perfect positive correlation.
-1, we say that there is a perfect negative correlation.
0.5 and upward but not 1, we say there is a strong positive correlation
-0.5 and downward but not -1, we say there is a strong negative correlation
between 0 to 0.5, we say there is a weak positive correlation
between 0 to -0.5, we say there is a weak positive correlation
The question says r = 0.25, hence Age and Height share a weak positive relationship
