A. This is not the strongest correlation. The strongest relationship between the independent and dependent variables is represented by a correlation coefficient that is closest to either +1 or -1. See the correct answer for a complete explanation.
B. The coefficient of correlation lies between -1.0 and +1.0. Therefore, the coefficient of correlation could not be 1.03.
C. The correlation coefficient representing the strongest relationship between the independent and dependent variable is the one that is closest to either +1 or -1. This is the weakest correlation among the answer choices.
D. The coefficient of correlation is a numerical measure that measures both the direction (positive or negative) and the strength of the linear association between the dependent and independent variables. The coefficient of correlation lies between -1.0 and +1.0. When the correlation coefficient is positive (between 0 and +1), it means the dependent and independent variables move in the same direction. When the correlation coefficient is negative (between 0 and -1), it means they move in opposite directions, i.e., when the independent variable goes up, the dependent variable goes down. When the coefficient of correlation is 0, it means either that there is no correlation between the two variables, or that the relationship between them is not linear. To identify the strongest correlation we need to determine the coefficient of correlation that is closest to either +1 or -1. In this case it is -.89.