Well, friend, the number of weeks a film has been out and weekly attendance usually have a negative correlation. As time goes on, attendance tends to decrease since most people rush to see a movie when it's first released. But remember, every film is unique, and there are always exceptions to the rule. Just like every brushstroke adds to the beauty of a painting, each movie has its own journey at the box office.
A negative number. A positive number x a positive number = a positive number A negative number x a negative number = a positive number A positive number x a negative number = a negative Hope this helps :D
It is positive.
negative number
it is negative number
A negative divided by a negative is a positive.
In general, as the number of weeks since release increases, total cumulative attendance increases - this would be a positive correlation. However, as the number of weeks since release increases, the total weekly attendance tends to decrease - a negative correlation.
No correlation. The mark you get in your exam, relates to the number of correct answer you have given. It has nothing to do with your class attendance.
no correlation.
In my opinion, it is neither positive or negating correlation. The answer is no correlation.
positive
It would be a positive correlation. As the time increases, the number of words typed would also increase.
positive
I would assume a negative correlation. More TV sets per home = less newspaper circulation.
Possibly
An example of a positive correlation is: the number of cars on the road and the number of greenhouse gas emissions there are. As one of those rises, so does the other. A negative correlation is when one statistic rises causing the other to drop. Look at a few scatter plots and you will easily be able to see positive and negative correlations
Positive Correlation- Age - Amount of medical conditions Negative Correlation- Television Watching- Grades No Correlation- Height of a person- Number of shoes they own Hope this was helpful!
a correlation statement is a sentence that says whether the points on a scatterplot have a positive, negative or no correlation.ex. This graph shows a negative correlation, as the number of cows increases (x axis data) the profitability decreases (y axis data).