cause variable मीनिंग इन हिंदी

उदाहरण वाक्य

1. This helps to avoid false inferences of causality due to the presence of a third, underlying, variable that influences both the potentially causative variable and the potentially caused variable : its effect on the potentially caused variable is captured by directly including it in the regression, so that effect will not be picked up as an indirect effect through the potentially causative variable of interest.
2. This helps to avoid false inferences of causality due to the presence of a third, underlying, variable that influences both the potentially causative variable and the potentially caused variable : its effect on the potentially caused variable is captured by directly including it in the regression, so that effect will not be picked up as an indirect effect through the potentially causative variable of interest.
3. This helps to avoid mistaken inference of causality due to the presence of a third, underlying, variable that influences both the potentially causative variable and the potentially caused variable : its effect on the potentially caused variable is captured by directly including it in the regression, so that effect will not be picked up as a spurious effect of the potentially causative variable of interest.
4. This helps to avoid mistaken inference of causality due to the presence of a third, underlying, variable that influences both the potentially causative variable and the potentially caused variable : its effect on the potentially caused variable is captured by directly including it in the regression, so that effect will not be picked up as a spurious effect of the potentially causative variable of interest.
5. is hypothesized, in which y is the dependent variable ( hypothesized to be the caused variable ), x _ j for " j " = 1, . . ., " k " is the " j " th independent variable ( hypothesized to be a causative variable ), and e is the error term ( containing the combined effects of all other causative variables, which must be uncorrelated with the included independent variables ).
6. is postulated, in which y _ i is the " i " th observation of the dependent variable ( hypothesized to be the caused variable ), x _ { j, i } for " j " = 1, . . ., " k " is the " i " th observation on the " j " th independent variable ( hypothesized to be a causative variable ), and e _ i is the error term for the " i " th observation ( containing the combined effects of all other causative variables, which must be uncorrelated with the included independent variables ).