well, you don't go insane and have maggots eat your feet.
-Stalin M.D.
It means that there is a strong positive association between changes in the two variables being studied. Positive association means that the two variables tend to increase together or decrease together. Note that there is no mention of a causal relationship between the variables.
Event 1 makes Event 2 happen.
r square is a measure of the linear relationship between the variables. The nearer r squared is to one, the stronger the linear relationship. However, a linear relatinship is NOT a causal relationship. Also the absence of a large r square is not evidence of no relationship: there may well be a non-linear relationship. It is commonly accepted that for scientific purposes, a very minimum of 0.98 is accepted for r2. This is because 0.98 actually allows for quite a variance (by eye)
A Teacher drops A box of chalk, and her chalkboard Crack a few minuets later.
You did not list any events.
There is no causal relationship between protest and cancer.
Of course. You can also do poorly. There is no positive " If - Then " causal relationship between those aspirations and those talents.
It means that there is a strong positive association between changes in the two variables being studied. Positive association means that the two variables tend to increase together or decrease together. Note that there is no mention of a causal relationship between the variables.
The term "causal order" can be defined as a method of organising ones speech to ensure that the major points demonstrate a relationship between the cause and its effect.
Correlation between two variables implies a linear relationship between them. The existence of correlation implies no causal relationship: the two could be causally related to a third variable. For example, my age is correlated with the number of TV sets in the UK but obviously there is no causal link between them - they are both linked to time.
a signal which has the value starting from t=0 to +ve time axis is called causal signal while , anti causal is a fliped version of causal signal i.e on -ve time axi's signal is called anti causal. ans by: 43805 The THUNDER A.A.T
True
Yes, but the relationship need not be causal.
Things may be correlated without causal relationship or conversely. Consider the Modulus function - that is the value of a number without regard to its sign. Over any domain (-a,a), there is a very strict relationship between x and mod(x), but their correlation is 0. Conversely, I expect that there is a good correlation between my age and the number of TV sets in the world. That is not to say that my getting older is producing more TVs or that TV production is causing me to age. Simply that both of them are correlated to a third variable - time. There can be correlation without such a third variable but, offhand, I cannot think of an example.
Usually all they do is show the values of two continuous variables for a set of values. There may or may not be a relationship between the two variables. If there is, it may or may not be a causal relationship. It does not have to be a linear relationship or even a relationship that maintains its characteristic.
One example of events that are correlated but do not have a causal relationship is the rise in ice cream sales and drownings. While both events may peak during summer months, there is no direct link between them causing one another. Another example is the correlation between the amount of TVs sold and the number of births in a population, which are linked to economic and societal factors rather than a direct causal relationship.
experimental method