Answer:
True
Explanation:
The correlation coefficient denoted by r is a measure of association between the two variables.
It is calculated as the ratio of covariance of (x,y) divided by std dev X * std dev Y
r lies between -1 and 1
The extreme cases -1 and 1 represent that the variables are strictly negatively and positively related respectively in linear relation
Perfect linearity is denoted by r taking values exactly equal to 1 or-1
r=0 implies the two variables are independent or there is no association
Hence r nearer to 1 or-1 represent stronger linear correlation and nearer to 0 represent weak correlation