Answer :
If covariance between two variables is near 0, it implies that the variables are not linearly related.
- In probability theory and statistics, covariance is a measure of the combined variability of two random variables in probability theory. The covariance is positive if the larger values of one variable mostly correlate with the greater values of the other variable, and vice versa for the smaller values.
- It is given that the covariance between two variables is near zero.
- In mathematical modelling, statistical modelling, and experimental sciences, dependent and independent variables are variables. Dependent variables are so named because their values are explored in an experiment under the assumption or requirement that they are dependent, by some law or rule, on the values of other variables.
- It clearly implies that the variables are not linearly related.
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