It may depend on the context, existence of other models, and the other characteristics of that model, but, in general, r = 0.12 seems like a weak correlation.
social unrest can be due to trivial factors in rich countries too like religious factors and cultural factors. so while middle east is rich due to monarchy and terrorism, there exists social unrest. similarly rampant consumerism in usa gives rise to social unrest.financial crisis is related with economy decline and meltdown.people may be poor but still happy and peaceful, moneydoesnot equal peace
No, the democracy is a form of government premised on the idea that power lays with a majority of eligible citizens. In fact, democracy, ceteris paribus, is against the idea of protecting the weak from the strong, especially if the strong compose a majority in society. Such ideas usually stem from other normative philosophical ideas, such as socialism.
A French Socialist is a member of the Socialist Party in France or someone who follows socialist principles promoting social ownership and democratic control of the means of production for a more equal and fair society. The French Socialist Party has played a significant role in French politics, advocating for social welfare programs and progressive policies.
The phrase "Equal pay for equal work" is commonly attributed to American activist and women's rights advocate, Susan B. Anthony.
Critics of multiculturalism argue that it can lead to segregation, lack of social cohesion, and division within societies. Additionally, some believe that it can promote cultural relativism, where all values and beliefs are considered equal, regardless of ethical considerations. Finally, managing competing cultural norms and values can create challenges for social integration and public policies.
Positive Correlation
A correlation coefficient cannot exceed 1.
A correlation coefficient of 1 (r=1) is a perfect positive correlation.
No! Correlation by itself is not sufficient to infer or prove causation.
0, within statistical error.
They equal a minus and two +'s or two -'s equal a + :)
It depends on the person, and there is also a strong correlation between the age of the Republican and the level of acceptance. as of 2013 60% of Republicans under 30 support full equal rights for gay people.
Of what? There is no universal correlation between volume and weight.
A correlation is the relationship between two variables.Correlations are described as either weak or strong, and positive or negative, however there can be a perfect correlation between variables, or no correlation between variables.It is important to determine the correlation between variables in order to know if and how strongly one variable affects another variable (if one variable changes, how will the other variable react). This is done by determining the coefficient of correlation (r), which describes the strength of the relationship between variables and the direction.-1 is less than or equal to r, r is less than or equal to +1if r= +1 or -1, there is a perfect relationshipif r= 0 there is no relationship between the variables, meaning that one variable does not affect the other variable and one variable could change without any change to the other variable.a value closer to + or - 1 demonstrates a strong relationship, while a value closer to 0 demonstrates a weak relationship.a + value demonstrates that when one variable increases the other variable increases, while a - value demonstrates that when one variable increases the other variable decreases.* * * * *Mostly a very good answer but ...It is very important to understand that correlation is not the same as relationship. Consider the two variables, x and y such that y = x2 where x lies between -a and +a. There is a clear and well-defined relationship between x and y, but the correlation coefficient r is 0. This is true of any pair of variables whose graph is symmetric about one axis.Conversely, a high correlation coefficient does not mean a strong relationship - at least, not a strong causal relationship. There is pretty strong correlation between my age and [the log of] the number of television sets in the world. That is not because TV makes me grow old nor that my ageing produces TVs. The reason is that both variables are related to the passage of time.
Absolutely not. The simplest way to demonstrate this is to consider a measure of agreement - disagreement. If we scored it so that "strongly agree" is 5 and "strongly disagree" is 1, we would get one value of the correlation. If we reverse-scored it, we would get exactly the same value, but with the opposite sign. The strength of the correlation is the same, but the direction of the relation has switched. Another consideration is the fact that the actual strength of the correlation is based on the square of its value. 0.20 squared is 0.04; 0.40 squared is 0.16. A correlation of 0.40 is four times as strong as a correlation of 0.20. But when you square something, you automatically lose the sign. The square of a negative number is positive. So by definition, correlations of the same size but different signs are equal in strength.
In surveys, we find data that is "correlated", meaning one factor may have not directly interfered with another factor, yet the more of the X factor we have, the more of the Y factor we are likely to have (positive correlation).For example, if a survey says that teenage girls who do not eat dinner with their family are more likely to become pregnant before age 17, then there is a positive correlation between teen girls not eating dinner with family & teen pregnancy.Not eating dinner with one's family will not causepregnancy, but there is a strong relationship between the two.
Social demand = private demand +/- exteranlities