Final answer:
Using misleading indicators in data visualization can result in an inability to validate data, images that are misunderstood, and images that are open to multiple interpretations, affecting both the reliability and clarity of information presented.
Step-by-step explanation:
The consequence of using a misleading indicator in data visualization can result in various confusions and misinterpretations. When selecting all that apply to the possible results, we find that A. Not being able to validate the data, D. Showing images that can be misunderstood, and E. Showing images susceptible to more than one interpretation are the applicable choices. Misleading graphs can be the result of altering the visual representation of data to either intentionally or unintentionally provide a false narrative or obscure the truth.
These images or graphs may include directions or data points that suggest a different conclusion than what the raw data would support. Additionally, the way information is presented in a graph can not only be difficult to validate due to missing contextual details, but it can also lead viewers to misinterpret the information, sometimes according to their own biases or preconceived notions.
It's essential to recognize that graphs and indicators have the power to both reveal and distort patterns, making critical thinking and careful analysis crucial when interpreting visual data representations.