In a linear regression problem, we are using "R-squared" to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model. Which of the following options is true? Multiple Choice If R Squared incieoses, this variable is significant. None of the options me correct. Individually. R squared cannot tell about variable importance. We can't say anything about it right now. If R Squared decreases, this variable is not significant. Model A has an AIC number of 300 whereas model B has an AIC number of 400 (both models have the same dependent variable). This suggests that which model is more correctly specified? Multiple Choice Model A Not enough information is provided Model B Can't tell without knowing sample size