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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).

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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 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.


Which shows a positive correlation?

A positive correlation occurs when two variables move in the same direction; as one increases, the other also increases. For example, there is a positive correlation between hours studied and exam scores, where more study time typically leads to higher scores. Another example is the relationship between temperature and ice cream sales, as warmer weather tends to result in increased ice cream consumption.


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 Correlation method example?

One common example of a correlation method is Pearson's correlation coefficient, which measures the linear relationship between two continuous variables. For instance, researchers might use this method to analyze the correlation between hours studied and exam scores among students. A positive value close to +1 indicates a strong positive correlation, while a value close to -1 indicates a strong negative correlation. This method helps in understanding how changes in one variable may relate to changes in another.


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 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.


If body weight rises as hours spent watching TV increase the correlation between weight and TV watching is?

positive.


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 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.


What is the duration of Paycheck film?

The duration of Paycheck - film - is 1.98 hours.


A negative value for correlation indicates what?

Data can be correlated (meaning there is an indication of a relationship) either positively or negatively. The datasets of two variables (x,y) which have a negative correlations, when plotted, will show a negative trend, that means with increasing values of x, there will be, generally, decreasing values of y. An example of negative correlation, would be the more hours someone exercises, the less they weigh, if weight loss is measured as a negative number and weight gain as a positive number. In this case x= hours exercised, y = final weight - original weight. For presentation purposes, we frequently define our variable to show positive correlations. As per the above example, I could have defined y = original weight - final weight, which would show a positive correlation and plot as an upward trend. It would not change the absolute value of correlation just the sign. You may check wikipedia under correlation to get more understanding.