The strength of a linear relationship between two variables is measured by the correlation coefficient, denoted as $r$. The value of $r$ ranges from -1 to +1.
To determine the weakest degree of relationship, we need to examine the absolute value of the correlation coefficient ($|r|$). The smallest absolute value represents the weakest relationship because it is closest to 0.
Let's compare the absolute values of the given options:
Comparing these absolute values (0.84, 0.56, 0.75, and 0.08), the smallest value is 0.08.
Therefore, the correlation coefficient that represents the weakest degree of relationship is +0.08.
| LIST I | LIST II | ||
| A. | An inferential test used to determine effect size for a chi-square test; the correlation used when both measured variables are dichotomous and nominal | I. | Point-biserial correlation coefficient |
| B. | The correlation used when one of its variables is measured on a dichotomous nominal scale and the other is measured on an interval or ratio scale | II. | Regression analysis |
| C. | A procedure that allows to predict an individual's score on one variable based on knowing one or more variables | III. | Partial correlation |
| D. | A correlational technique that involves measuring three variables and then statistically removing the effect of the third variable from the correlation of the remaining two variables | IV. | Phi-coefficient |
Assertion (A) : There is a positive co-relation between literacy and primary education.
Reason (R) : It has been found that total literate districts have shown increase in enrolment at primary level.
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