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What is the correlation between student anxiety scores and number of study hours?
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∙ 9y ago
- What is the probability of a type I error? What does this mean?
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What is a real life classroom example of negative correlation?
There would be a negative correlation in the classroom, of a student's grades, with the number of days absent from class.
What is an example of positive correlation?
POSITIVE CORRELATION IS CORRELATION THAT IS LINKED. REPHRAISED IT MEANS:POSITIVE CORRELATION IS CORRELATION IN WHICH BOTH AXIS ARE LINKED. SO IN SOME EXTREME CASES IT WOULD BE, (X=Y).BUT ON WITH THE QUESTION ANSWERING.HERE ARE A FEW EXAMPLES OF POSITIVE CORRELATION:1. THE AMOUNT OF COFFEE DRUNK AND THE NUMBER OF HOURS STAYED AWAKE.2. THE NUMBER OF PEOPLE FLYING TO AUSTRALIA AND THE NUMBER OF PLANES FLYING TO AUSTRALIA.THESE CAN EASILY BE CHANGED INTO SCATTER DIAGRAMS. IF YOU WANT TO KNOW MORE ABOUT POSITIVE CORRELATION THAN COME TO HAWLEY PLACE SCHOOL nd ask to see mr freeman.OTHER EXAMPLES OF POSITIVE CORRELATION IS THAT1.MARKS OF STUDENT AND HIS QUOTIENT. IN THIS CASE THERE IS POSITIVE CORRELATION BETWEEN THESE TWO VARIABLE.ON OTHER HAND IN SOME OTHER SITUATION "INCREASE IN VALUE OF ONE VARIABLE IS ASSOCIATED WITH INCREASE IN VALUE OF ANOTHER VARIABLE OR DECREASE IN VALUE OF ONE VARIABLE IS ASSOCIATED WITH DECREASE IN VALUE OF ANOTHER VARIABLE IS CALLED POSITIVE CORRELATION".
What is a correlation variable?
Any variable can be a correlation variable. In some cases there may be no apparent correlation but that, in itself, that means nothing. For example, the x and y coordinates in the equation of a circle (or any symmetric shape) are not correlated. On the other hand, there is a pretty good correlation between my age and the number of cars in the world.A correlation variable is simply a variable that you study to see if changes in the variable that you are interested in is, in any way, related to changes in the correlation variable, and to get some idea of the degree to which they move in line.
Is number of days absent from school and the mark in the examination a positive and negative or no 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.
Is the number of weeks a film has been out and total attendance a positive negative or no correlation?
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.
What is a real life classroom example of negative correlation?
There would be a negative correlation in the classroom, of a student's grades, with the number of days absent from class.
Is there a positive correlation a negative correlation or no correlation between daily newspaper circution and the number of television sets in homes?
I would assume a negative correlation. More TV sets per home = less newspaper circulation.
What is a single number that describes the degree of relationship between two variables?
Correlation
Is 4264 a positive correlation?
No, it is an integer number. Correlations happen among various different things. A non-zero correlation means that the things interact or depend on each other. A zero correlation means they don't. Examples: There is a positive correlation between how much you eat and how much you weigh. There is a zero correlation between the color of your car and its gas mileage. There is a positive correlation between how far the volume control is turned up and the sound pressure level that you hear. There is a negative correlation between the air temperature and the sales of sweaters.
What is an example of positive correlation?
POSITIVE CORRELATION IS CORRELATION THAT IS LINKED. REPHRAISED IT MEANS:POSITIVE CORRELATION IS CORRELATION IN WHICH BOTH AXIS ARE LINKED. SO IN SOME EXTREME CASES IT WOULD BE, (X=Y).BUT ON WITH THE QUESTION ANSWERING.HERE ARE A FEW EXAMPLES OF POSITIVE CORRELATION:1. THE AMOUNT OF COFFEE DRUNK AND THE NUMBER OF HOURS STAYED AWAKE.2. THE NUMBER OF PEOPLE FLYING TO AUSTRALIA AND THE NUMBER OF PLANES FLYING TO AUSTRALIA.THESE CAN EASILY BE CHANGED INTO SCATTER DIAGRAMS. IF YOU WANT TO KNOW MORE ABOUT POSITIVE CORRELATION THAN COME TO HAWLEY PLACE SCHOOL nd ask to see mr freeman.OTHER EXAMPLES OF POSITIVE CORRELATION IS THAT1.MARKS OF STUDENT AND HIS QUOTIENT. IN THIS CASE THERE IS POSITIVE CORRELATION BETWEEN THESE TWO VARIABLE.ON OTHER HAND IN SOME OTHER SITUATION "INCREASE IN VALUE OF ONE VARIABLE IS ASSOCIATED WITH INCREASE IN VALUE OF ANOTHER VARIABLE OR DECREASE IN VALUE OF ONE VARIABLE IS ASSOCIATED WITH DECREASE IN VALUE OF ANOTHER VARIABLE IS CALLED POSITIVE CORRELATION".
Why the number 5 is written with 4 letters and not five?
Because there is no correlation between the value of a number and its literary pronunciation or spelling.
What is a correlation coefficient?
a number derived from the formula for measuring a correlation and indicating the strength and direction of a correlation
Is there a direct correlation between population numbers and the number of electorates a state has?
almost Since U. S. Representatives are allocated to the states based on population, there is a direct correlation between a state's population and its allocation of Representatives, which is two less than the number of the state's electoral votes, because the total number of electors equals the number of Representatives plus the number of Senators.
How does the time period or number of variables effect correlation coefficient?
The time period may not affect the correlation coefficient at all. If looking at the correlation between the mass and volume of steel objects, time is totally irrelevant. The effect of the number of variables depends on whether or not the extra variables are related to ANY of the variables in the equation.
Is the age of pets in a home and the number of pets in that home a positive negative or no correlation?
no correlation.
What does it mean when a positive correlation coefficient between the dependent variable Y and the independent variable X indicates?
It means that the two variables are likely dependent. The higher the number of the positive correlation the stronger the connection.
What is correlation What are the different types of correlation Why is it important to determine correlation What does it mean when it is said that two variables have no correlation?
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 ≤ r ≤ +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.
