"Explanatory variables" refer to the factors or elements that are being studied or analyzed in order to understand or explain a particular phenomenon or event. They are the factors that researchers believe may have an influence on the outcome they are trying to explain. These variables are used to identify patterns, trends, or relationships and help answer questions about why something happens.
Full definition
However, as you add the true set
of explanatory variables to your regression, the amount of variation explained by CO2 will decline.
Third, the parental practices should be included as potential
explanatory variables in order to determine if temperament and character of parents are more important variable than others.
Although academic ability is the most
important explanatory variable in studies of student learning, researchers control for it with a wide array and combinations of proxies.
Our analysis progressed through five models that
added explanatory variables most likely to explain the observed race / ethnicity differences (table S4).
Once climate researchers develop better theories, it will guide them toward the set of
true explanatory variables and the role of CO2 in climate change theories will be greatly diminished.
In this model the status of the dog (case or control) was used as a binary response variable and the four personality factors
as explanatory variables.
Using Statistics Canada figures, it demonstrated that â $ œworkforce growth has been almost identical during the premierships of Brad Wall and Lorne Calvert.â $ Unsurprisingly, the main
explanatory variable for Saskatchewan employment appears to be commodity prices rather than the party in -LSB-...]
For instance, it reports the findings on the proportion of explained variation associated with
entering explanatory variables in different order and notes the possibility that
When the course of aggressive behavior in childhood does not predict antisocial outcomes in adolescence and adulthood: An examination of potential explanatory variables
Almost all bivariate models, in which the association between one study characteristic and study outcome is analyzed, have a significantly better fit than the intercept only model
without explanatory variables (see Tables 1 and 2).
While this simple model implies a good fit between the fund and the ETF (high R - squared), it only employs a
single explanatory variable.
To begin to answer the question, they mapped syphilis rates across time and place and examined whether
possible explanatory variables such as geographical location, health care spending, or relative wealth, showed a correlation with the observed patterns.
The
following explanatory variables were included in the analysis: gender, breed, age of arrival to a new home (in weeks), place of birth (at mother's home / at breeder) amount of socialisation, number of children in the household, number of adults, number of dogs in the household, number of other diagnosed diseases, the time the dog has to spend alone during a normal day, amount of daily exercise, amount of activities done with the dog, dietary supplements, neutering status and type of food.
Regression analysis shows that climate (heating and cooling degree days and average annual humidity) and geography (inverse population density) are important but
incomplete explanatory variables for transportation and residential emissions.
Furthermore, based on a well - known solar activity forecast (Abdussamatov 2015) and specific assumptions on the other
natural explanatory variables (i.e., volcanic and oceanic / ENSO activity), this new Research Report also provides a long - term forecast that UAH TLT temperatures are very likely to exhibit a declining trend over the period through 2026 at the least.
The statistical analyses (Table FE3) indicated that: (1) there are statistically significant differences in carbon dioxide emission factors across both coal rank and State of origin; (2) coal rank and State of origin each explain approximately 80 percent of the variation in carbon dioxide emission factors; and (3) State of origin combined with coal rank is a slightly more
powerful explanatory variable than either coal rank or State of origin alone.
In this work, I employ time series linear regression with time fixed effects to empirically estimate the effect of each
likely explanatory variable on the average day - ahead locational marginal price (LMP) earned by 19 nuclear generating stations located in PJM from January 1, 2008 to December 31, 2016.
This means it is possible to identify an independent relationship between any
single explanatory variable and the outcome variable; to show, for example, that there is a relationship between maternal age and breastfeeding that does not simply occur because both education and maternal age are related.
The approach for handling missing data for
the explanatory variables depended on the extent of the problem.