101. Industrial engineering method is used to analyze relationship between
102. Residual term is also considered as
103. Percentage of variation in Y explained by X is measured by
104. Small residual terms and positive slope of line indicate
105. An analysis of data over successive past periods, which pertain to some plant, activity and organization is called
106. Individual variable coefficient's multicollinearity leads to
107. constant variance is classified in assumptions testing as
108. As compared to cumulative average-time learning model, learning model which predicts more cumulative total time to produce more units is known as
109. Model, in which produced unit doubles every time as cumulative average time per unit decreases, by a constant percentage can be classified as
110. In specification analysis, assumptions related to variance states that:
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