Any set of vectors that includes the zero vector is linearly dependent because the zero vector can be expressed as a linear combination of the vectors with non-zero coefficients. Specifically, if the zero vector is included, one can set its coefficient to any non-zero value while keeping the coefficients of the other vectors as zero, leading to a valid linear combination that equals zero. This demonstrates that not all coefficients need to be zero for the set to be dependent. The explanation aligns with standard linear algebra principles, confirming the dependency of such sets. Understanding this concept is crucial for grasping linear algebra fundamentals.