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It is postulated that the outcome variable, the Gini coefficient, depends on explanatory variables such as hurricane damages, GDP; sociodemographic variables including proportion of nonwhite people; political dominance of the U.S. Senate; a set of cross-sectional dummy variables accounting for each of the study's hurricane states; and time trend.
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Since the daily numbers of calls are integer valued, it is natural to model them using Poisson distributions with parameters depending on explanatory variables.
The probability (pveterinary treatment) of veterinary treatment for an animal with a diagnostic event depended on explanatory variables (x1,..., x n ) and on the random effect of herd (uherd).
In such dynamic panel setup, the dependent variable, i. e. the income of pastoral, semi-pastoral, agro-pastoral and mixed-farming communities, depends on observed explanatory variables signified by x it, latent effects represented by ε it and the lagged dependent variable (y i,t − 1) whose coefficient is designated by θ.
The probability that consumers buy Prosecco CDO positively depends on several explanatory variables, for instance the fact that consumers belong to "post families"; are aged between 35 45, earn a high income and live in a small (two people) household.
The proportion of explained variance in HISB on the Internet, depending on various explanatory variables, as determined in several international studies, amounts to 17 43% [ 26].
When the errors are heteroskedastic (i.e., non-constant variance), or they depend on the explanatory variables, it is "better" to use a subgroup-specific smearing factor for each intravenous, subcutaneous or intramuscular product category [9],[9]],[9]].
We considered a binary response variable Y for NHL case status with associated P(Y = 1) = p s,x) depending on the explanatory variables x and the spatial location s, which consists of the coordinates (s1, s2).
It provides a comprehensive picture of a response contingent on explanatory variables.
For statistical models containing more than one explanatory variable, the effect of measurement error depends not only on the error type (i.e. Berkson, classical, proportional, additive) but also on the correlation between the explanatory variables, which explanatory variables are causal and which are measured with error.
From Table 7 the fitted model is: logit(p) = -5.716 + (0.270 × lactate) + (0.053 × urea) + (1.425 × age group) Because there is more than one explanatory variable in the model, the interpretation of the odds ratio for one variable depends on the values of other variables being fixed.
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