Fill in the blanks in the following sentence with the appropriate terms respectively: Covariance is a measure of the __ of a linear relationship between two variables while the correlation coefficient provides both __ and __ of a relationship a. strength; power direction b. power; direction;strength c. strength; direction power d. direction; direction strength

## Step 1<br />The problem is asking us to fill in the blanks in the sentence with the appropriate terms. The sentence is about two statistical measures: Covariance and Correlation Coefficient.<br /><br />## Step 2<br />Covariance is a measure that indicates the extent to which two variables change together. If the covariance is positive, it means that the two variables increase or decrease together. If the covariance is negative, it means that as one variable increases, the other decreases.<br /><br />## Step 3<br />The Correlation Coefficient, on the other hand, is a measure that indicates the strength and direction of a linear relationship between two variables. The strength of the correlation is indicated by the absolute value of the correlation coefficient, with 1 indicating a perfect positive correlation and -1 indicating a perfect negative correlation. The direction of the correlation is indicated by the sign of the correlation coefficient, with positive indicating a positive correlation and negative indicating a negative correlation.<br /><br />## Step 4<br />Based on the above explanations, the correct answer is option C: "strength; direction; power". This is because Covariance measures the strength of the relationship between two variables, while the Correlation Coefficient provides both the direction and strength of the relationship.