The situation is more difficult when the explanatory variables are not related by definition but happen to be correlated in our data. This kind of multicollinearity problem can be diagnosed by regressing each e
An explanatory variable is a type ofindependent variable. The two terms are often used interchangeably. But thereisa subtle difference between the two. When avariableis independent, it is not affectedat allby any other variables.When a variable isn’t independent for certain, it’s an explanator...
The dependent variable, denoted as the y-variable, is the value that we are looking to determine and is often referred to as the outcome. The explanatory factors, denoted as the x-variables, are also often referred to as the independent factors, the predictor variables, or simply the model...
5 Left: Ceteris Paribus for the age variable shows the monotonicity of the instance prediction profile, for which values are large or small. Right: Histogram shows the distribution of the age variable's values instance, more precisely Cristiano Ronaldo's (CR).1 The black-box model estimates ...
variable and dependent variable is statistically analysed by hierarchically partitioning spatial data, and the similarity is determined according to the quantitative explanatory power. Furthermore, geodetector applications in environmental evaluation are in the process of being continuously implemented in ...
The variable was dichotomised as “German” and “other languages” since German was the teaching language in all classes. Student's academic achievement. We used two indicators to account for academic achievement: reading comprehension and mathematics achievement. Both tests are based on test ...
Measures The literature review has helped determine the variables that compose the model to contrast; thus, the different items have been grouped in Table 2, measuring each variable according to the items detailed below: ‚ Alertness (ALERT): frequent interactions with third parties to acquire ...