state true or false with justification

(a) Data Analytics and Text Mining, both adopt statistics and machine learning techniques for identification and extraction of useful trends or patterns. [2] (b) In a regression example of Y = profits with X1 = market share, and X2 = number of employees, if the two X variables are more correlated with each other than they are with the Y variable, then only one of the two variables should remain in the model. [2] (c) Correlation between a feature variable and target variable is desired for any model building as it helps in establishing their causal relationship. [2] (d) For data collection and preprocessing, domain knowledge is essential, whereas for model building and evaluation it is optional. [2] (e) As part of Feature Selection, we select those Feature Variables for which Variance is high [2]