All of the following variables, except for ________, would likely show a positive correlation.

Q128:
Índice Show
A(n)________ is a measure of how strongly two variables are related to one another. A)independent variable B)dependent variable C)experimental effect D)correlation
Q129:
The word correlation is often used as a synonym for ________. A)validity B)reliability C)variable D)relationship
Q130:

Julie finds that the number of hours she sleeps each night is related to the scores she receives on quizzes the next day.As her sleep approaches 8 hours,her quiz scores improve;as her sleep drops to 5 hours,her quiz scores show a similar decline.Julie realizes that ________. A)there is a negative correlation between the number of hours she sleeps and her quiz grades B)there is a positive correlation between the number of hours she sleeps and her quiz grades C)her low quiz scores are caused by sleep deprivation the night before a quiz D)she should sleep about 10 hours a night to ensure 100 percent quiz grades
Q131:
A correlation coefficient shows that smoking and life expectancy are indeed related.As a result,a researcher could predict that ________ if the direction of the relationship is known. A)if a person smokes a lot of cigarettes,he or she will have less money monthly to buy gas B)the person's life expectancy will go up or down based on the number of cigarettes the person smokes daily C)if a person smokes cigarettes,he or she will eventually develop lung cancer D)a person's lungs will repair themselves and he or she will live a longer life
Q132:
Paul records data that indicate that the number of hot chocolates sold at the concession stand increases as temperature outside decreases (for example,more hot chocolates are purchased during late fall than late spring).Which of the following statements is the most accurate depiction of this finding? A)There is a correlation between the two variables. B)There is a strong,positive correlation between the two variables. C)There is a weak,positive correlation between the two variables. D)There is a negative correlation between the two variables.
Q134:
A negative correlation means that ________. A)high values of one variable are associated with low values of the other B)high values of one variable are associated with high values of the other C)low values of one variable are associated with low values of the other D)there is no relationship between the two variables
Q135:
Which of the following statements is correct concerning correlation coefficients? A)A correlation of +.89 is strong and -.89 is weak. B)A correlation of +.89 and -.89 are both strong and equally so. C)Correlation coefficients are indicators of cause and effect. D)A correlation of +1.5 is very strong.
Q136:
All of the following variables,except for ________,would likely show a negative correlation. A)average income and the incidence of dental disease B)adult shoe size and IQ scores C)the value of a car and the age of a car D)hours spent watching TV and grade-point average
Q137:
Drinking orange juice is negatively correlated with the risk of cancer.Based on this information,which of the following statements is true? A)The more orange juice you drink,the higher your risk of cancer. B)The more orange juice you drink,the lower your risk of cancer. C)The less orange juice you drink,the lower your risk of cancer. D)Drinking orange juice causes people to be cancer free.
Q138:
An operational definition is ________. A)a statement that attempts to predict a set of phenomena and specifies relationships among variables that can be empirically tested B)an organized system of assumptions and principles that purports to explain a specified set of phenomena and their interrelationships C)the precise meaning of a term used to describe a variable,such as a type of behavior,that researchers want to measure D)the principle that a scientific theory must make predictions that are specific enough to expose the theory to the possibility of disconfirmation

Which example represents a positive correlation?

A positive correlation exists when two variables move in the same direction as one another. A basic example of positive correlation is height and weight—taller people tend to be heavier, and vice versa.

What is a positive correlation quizlet?

What does a positive correlation mean? A Positive Correlation is a steady relationship between two variables in the same direction, meaning that as the value of one variable increases, the value of the other increases as well. (And as the value of one variable decreases, so does the other).

Which of the following is an example of a positive correlation quizlet?

Give an example of a positive correlation. Exists when one variable decreases as the other variable decreases, or one variable increases while the other increases. For example, there is a positive correlation between smoking and alcohol use. As alcohol use increases, so does smoking.

What two things does a correlation coefficient represent?

The correlation coefficient describes how one variable moves in relation to another. A positive correlation indicates that the two move in the same direction, with a +1.0 correlation when they move in tandem. A negative correlation coefficient tells you that they instead move in opposite directions.

All of the following variables, except for ________, would likely show a positive correlation.