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Discover Ludwig"probit regression" is a correct and usable phrase in written English.
It refers to a statistical method used to predict the probability of an event occurring based on a set of independent variables. One example of using "probit regression" in a sentence could be: "The researchers used probit regression to analyze the relationship between income levels and likelihood of purchasing luxury goods."
Exact(60)
The probability of having T1D is regressed on a list of covariates through a logit or probit regression.
(Figure 4) stated probit regression was significant.
We now combine these factors in a multinomial probit regression.
We conducted our analysis by applying a binary Probit regression.
The values were estimated using a probit regression model.
Note: The table shows predicted probability from probit regression.
The probit regression beta coefficient is a measure of risk.
Inhibitory concentrations were calculated using the probit regression method [23].
We used bivariate probit regression to test the hypotheses empirically.
Third, an ordered probit regression at the announcement date.
Table 3 Regression results (1) (2) Probit regression Probit regression VARIABLES Coefficients Marginal effects Environmental consciousness/knowledge Internationall env.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com