| 41. | The primary analysis task is approached by fitting a regression model where the tip rate as the response variable.
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| 42. | The potential of sediment toxicity for a given site is based on a linear regression model ( LRM ).
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| 43. | Logistic regression models provide an estimate of the probability of an outcome, usually designated as a " success ".
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| 44. | Hedonic price regression models are estimated using secondary data on prices and attributes of different product or service alternatives.
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| 45. | In current statistical practice, probit and logit regression models are often handled as cases of the generalized linear model.
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| 46. | Stochastic gradient descent has been used since at least 1960 for training linear regression models, originally under the name ADALINE.
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| 47. | Logistic regression models created by Schrodt were also successfully incorporated into the predictive algorithms used by Lockheed Martin for ICEWS.
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| 48. | In regression models, the treatment is typically included as a dummy variable along with other factors that may affect risk.
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| 49. | Dummy variables are incorporated in the same way as quantitative variables are included ( as explanatory variables ) in regression models.
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| 50. | The general linear model is a generalization of multiple linear regression model to the case of more than one dependent variable.
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