It may happen that at the end of the model building phase of the data analytics lifecycle, the data fails to prove or disprove the hypotheses formulated in the discovery phase. As the data analyst, which of these reasons do you think are valid explanations for this outcome? Select all that apply. Question 5 options: The team could only perform a superficial analysis due to lack of time. The team conducted the most robust analysis but the results were simply not conclusive. The data the team used was not statistically significant, but there was no other data available. The hypotheses formulated in the discovery phase were poorly framed. The team found data points that were all outliers and couldn’t be used.