In sampling. b once an object is selected, it is removed from the population. a. with replacement b. with stratification c. without clustering d. without replacement 2. Redundant attributes may be able to be detected by a. binning b. normalization c. correlation analysis d. both A and B 3. In the context of simple linear regression, the point (X, Y) a. will always be one of the points in the data set. b. will always fall on the fitted line. c. is not informative d. None of the above 4. In equal depth histogram, histogram data points are 7. is computed to determine the closeness of the points to each cluster in the k-means. algorithm. a. Standard deviation b. Euclidean distance c. Sum of squared error d. Mean values 8. is a key initial operation in agglomerative hierarchical clustering. a. Merging the two closest clusters b. Determining pair of points c. Splitting a cluster until each cluster contair a point d. Computation of the proximity matrix 9. Simple linear regression equation parameters a and b are producing a line that have to pass through a. (Mean of X values, Mean of Y values) b. (X values, Y values) c. (X values, Predicted Y values) d. a and c