Answer:inherent rights, government by the people, and separation of powers. Self-government is the most important principle in the U.S. Constitution.
Explanation:
brainliest please i hope the answer helps :)
The correct answer is option A (increases).
As the child ages, he or she enters the teenagerhood which is a very vulnerable stage in which the importance of peer groups INCREASES. Teenagers need to feel part of a group, they are exploring themselves and look for belonging to a group. This feeling is a fundamental part of the process of identification.
Answer:
tikal was founded at the peak of mayan civilization around 600 AD
Explanation:
Answer:
D. the results are unlikely to have occurred by chance.
Explanation:
When the result of a research is statistically significant, it means they are not likely to have occurred by chance as errors are accounted for before the result is declared significant.
In the example provided, a model is built with the aim of explain certain behaviours of individuals who pertain for a classroom, let's assume we are speaking about a high school scenario and a class of teenagers. Data is gathered only from the male students.
When including age as an explanatory variable in a regression equation, it is very likely that it produces a causal effect on the dependent variable, but also on many of the other regressors, and hence it will be 'contaminating' the effects quantified for those.
A possible solution to avoid this inconvenience could be to gather again the same data 10 years later, and to build a new regression function. In the end, it is necessary to use an estimation method which compares the old and new regressions, to conclude in which extent has time (=age) affected each of the regressors, in order to isolate the effect of time on the regressors, from the pure effect that each regressor causes on the dependent variable. Like this, we are able to know the real effect of each regressor on the dependent variable, that is the ultimate goal of the model.
A possible estimator to use in this scenario is the so-called 'difference in differences' model.
