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Q: If grade point average rises as number of hours watching television falls the correlation between GPA and TV viewing is?

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positive.

I would assume a negative correlation. More TV sets per home = less newspaper circulation.

There is a strong correlation between people who tune into radio waves and cancer.Big pharma and gov will say NO to this as they control the game which you are part of..This is a wake up call for you to disconnect now!C

yes

The biggest advantage of watching TV is that you can be in the know with things. Between weather and news alone, you realize what is going on around you.

A correlation is the relationship between two or more variables. Correlations are described as either weak or strong, and positive or negative. 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 closely changes in one variable are reflected by changes in another variable. This is done by determining the coefficient of correlation (r), which describes the strength of the relationship between variables and the direction. -1 â‰¤ r â‰¤ +1 if r= +1 or -1, there is a perfect correlation if r= 0 there is no correlation between the variables. a value closer to + or - 1 demonstrates a strong correlation, while a value closer to 0 demonstrates a weak correlation. 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. However, 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.

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.

pearson correlation

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.

An 18 year old watching a variety of tv programs knows a lot about life, as for an 18 year old watching only cartoons: not much knowledge

Watching a solar eclipse is a spectacular and romantic sight, but there is no correlation between watching an eclipse together and spending the rest of your life together.

simple verb is singular but compound verb is formed from two verbs Exp:i was watching TV yesterdaywas watching is the compound verb