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The correlation between the number of hours spent watching TV and the amount of money spent can vary widely depending on individual habits and preferences. For some, increased TV watching might lead to higher spending on entertainment subscriptions, snacks, or merchandise related to shows. However, for others, more screen time could correlate with less spending if they are primarily consuming free content. Overall, the relationship is not straightforward and can differ based on lifestyle choices and viewing habits.

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Which type of correlation would be expected between the number of hours you spend watching TV and the number of hours spend studying?

One would generally expect a negative correlation between the number of hours spent watching TV and the number of hours spent studying. As the time spent on TV increases, the time available for studying typically decreases, leading to less effective study time. However, the strength of this correlation may vary depending on individual habits and time management skills.


Is false the number of hours a person studies and the numerical score on the exam is a positive correlation a child and age and the height of a child is a positive correlation the speed of a v?

The statement about the correlation between the number of hours a person studies and their exam score is true; generally, more study hours lead to higher scores, indicating a positive correlation. Similarly, there is often a positive correlation between a child's age and their height, as children typically grow taller as they get older. As for the speed of a vehicle, it would depend on the context; if you're referring to speed increasing with time or distance, that could also represent a positive correlation.


What is an example of correlation in statistics?

An example of correlation in statistics is the relationship between hours studied and exam scores. Typically, as the number of hours a student studies increases, their exam scores also tend to increase, indicating a positive correlation. This means that the two variables move in the same direction, though it does not imply causation. Correlation is often measured using Pearson's correlation coefficient, which quantifies the strength and direction of the relationship.


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".


Which or the following is an example of positive correlation?

An example of positive correlation is the relationship between hours studied and test scores. Generally, as the number of hours a student studies increases, their test scores tend to improve as well. This indicates that both variables move in the same direction—higher study time correlates with higher scores.

Related Questions

What is it call when grades go up as the number of study hours go up?

You might be referring to a positive correlation between grades and number of study hours.


Which type of correlation would be expected between the number of hours you spend watching TV and the number of hours spend studying?

One would generally expect a negative correlation between the number of hours spent watching TV and the number of hours spent studying. As the time spent on TV increases, the time available for studying typically decreases, leading to less effective study time. However, the strength of this correlation may vary depending on individual habits and time management skills.


Which type of correlation would be expected between hours spent studying and the grade on a test?

A positive correlation is expected between hours spent studying and the grade on a test. This means that as the number of hours studying increases, the test grades are likely to improve. However, the strength of this correlation can vary based on factors such as study techniques, prior knowledge, and test difficulty.


Is false the number of hours a person studies and the numerical score on the exam is a positive correlation a child and age and the height of a child is a positive correlation the speed of a v?

The statement about the correlation between the number of hours a person studies and their exam score is true; generally, more study hours lead to higher scores, indicating a positive correlation. Similarly, there is often a positive correlation between a child's age and their height, as children typically grow taller as they get older. As for the speed of a vehicle, it would depend on the context; if you're referring to speed increasing with time or distance, that could also represent a positive correlation.


Is this an example of a positive correlation the more hours you work the more money you will get on your paycheck?

Yes. try graphing it so that on the vertical axis you have "hours worked", and on the horizontal axis you have "pay". If the line slopes up as it goes right, then there is a positive correlation (ie, the more hours you work, the more money you get).


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

Negative


What is an example of correlation in statistics?

An example of correlation in statistics is the relationship between hours studied and exam scores. Typically, as the number of hours a student studies increases, their exam scores also tend to increase, indicating a positive correlation. This means that the two variables move in the same direction, though it does not imply causation. Correlation is often measured using Pearson's correlation coefficient, which quantifies the strength and direction of the relationship.


What is a positive negative correlation?

Correlation determines relationship between two variables. For example changes in one variable influence another variable, we can say that there is a correlation between the two variables. For example, we can say that there exists a correlation between the number of hours spent on reading and preparation and the scores obtained in the examination. One can infer that higher the amount of time spent on preparation may result in better performance in examination leading to higher scores. Hence the above is a case of positive correlation. If an increase in independent variable leads to an increase in dependent variable, it is a case of positive correlation. On the other hand if an increase in independent variable leads to a reduction in dependent variable, it is a case of negative correlation. An example for negative correlation could be the relationship between the age advancement and resistance to diseases. As age advances, resistance to disease reduces.


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".


How much is 3 hours in miles?

You cannot make a correlation between these two. Hours are a measurement of time. Miles are a measurement of distance.


Which or the following is an example of positive correlation?

An example of positive correlation is the relationship between hours studied and test scores. Generally, as the number of hours a student studies increases, their test scores tend to improve as well. This indicates that both variables move in the same direction—higher study time correlates with higher scores.


What are the legal amount of hours between a work shift?

What are the legal amount of hours between a work shift?"