Question 1

A correlation coefficient of 0.00 is to _____ as a correlation coefficient of -1.00 is to _____.

Accepted Answer

A correlation coefficient of 0.00 indicates no linear relationship between two variables, whereas a correlation coefficient of -1.00 indicates a perfect negative linear relationship between two variables. Therefore, the best choice is B, which states that a correlation coefficient of 0.00 is to no relationship as a correlation coefficient of -1.00 is to a perfect relationship.

Question 2

General State University recently decided to discontinue its use of the GRE as an admissions tool for its graduate programs because they observed no correlation between GRE scores and subsequent GPAs.Ninety percent of the grades awarded in the graduate programs at General State University are A's.What General State has failed to consider in this situation is the issue of

Accepted Answer

General State University has a restrictive range problem because 90% of the grades are A's, which limits the variability in GPAs and can obscure any potential correlation with GRE scores.

Question 3

An indication of the strength of the relationship between two variables is the _____.

Accepted Answer

The magnitude of the relationship between two variables indicates the degree to which they are related or correlated. A stronger relationship between two variables will have a higher magnitude, while a weaker relationship will have a lower magnitude. The other options (slope, sign, and scatterplot) can provide important information about the relationship between variables, but they do not directly measure the strength of that relationship.

Question 4

A correlation coefficient of +1.00 is to _____ as a correlation coefficient of -1.00 is to _____.

Accepted Answer

A correlation coefficient of +1.00 indicates a perfect positive linear relationship between two variables, meaning that as one variable increases, the other variable also increases in a linear fashion. Similarly, a correlation coefficient of -1.00 indicates a perfect negative linear relationship between two variables, meaning that as one variable increases, the other variable decreases in a linear fashion. Thus, both options represent a perfect relationship, only in opposite directions.

Question 5

A correlation coefficient of _____ indicates that the variables form a perfect linear relationship.

Accepted Answer

A correlation coefficient of +1.00 indicates a perfect positive linear relationship, while -1.00 indicates a perfect negative linear relationship.

Question 6

A variable that is truncated and has limited variability is said to have

Accepted Answer

Truncation and limited variability can result in a restricted range of scores for a variable. This means that the variable is not able to vary to its full extent and has limited variability. This can lead to issues in statistical analysis and interpretation, as the restricted range may not provide enough variation to detect meaningful differences or relationships.

Question 7

Which of the following correlation coefficients represents the variables with the weakest degree of relationship?

Accepted Answer

A correlation coefficient of +.01 indicates an extremely weak positive relationship between the variables, whereas the other options represent a very strong positive or negative relationship.

Question 8

Two variables increasing and decreasing together is to _____ as two variables moving in opposite directions is to _____.

Accepted Answer

When two variables increasing and decreasing together, it indicates a positive relationship, where the increase or decrease in one variable corresponds to the increase or decrease in the other variable. On the contrary, when two variables move in opposite directions, it suggests a negative relationship, where the increase in one variable corresponds to the decrease in another variable. Therefore, option C is the best choice that correctly matches the relationships between the two variables.

Question 9

The problem of _____ can often be identified by using a _____.

Accepted Answer

The problem of third variables can often be identified by using partial correlation, which allows us to control for the effects of the third variable and examine the relationship between the two remaining variables more clearly. The other options are not as relevant for identifying third variables or are better suited for other types of problems.

Question 10

In the case of a positive relationship,as scores on X _____,scores on Y _____.

Accepted Answer

In a positive relationship, as scores on X decrease, scores on Y also decrease, indicating that both variables move in the same direction.

Question 11

Per the text,we would expect the correlation between smoking and lung cancer to be _____ whereas we would expect the correlation between mountain elevation and temperature to be _____.

Accepted Answer

The answer of Per the text,we would expect the correlation...

Question 12

Which of the following correlation coefficients represents the variables with the strongest degree of relationship?

Accepted Answer

The answer of Which of the following correlation coefficients represents...

Question 13

If the points on a scatterplot are clustered in a pattern that extends from the lower left to the upper right,this would suggest that the two variables depicted are

Accepted Answer

When the points on a scatterplot are clustered in a pattern that extends from the lower left to the upper right, it suggests that the two variables depicted are positively correlated, meaning when one variable increases, the other variable tends to increase as well.

Question 14

When there is a _____ relationship,as scores on X increase,scores on Y also increase.

Accepted Answer

In a positive relationship, as scores on one variable (X) increase, scores on the other variable (Y) also increase.

Question 15

If the points on a scatterplot are spread all over the graph,this would suggest that the two variables depicted are

Accepted Answer

If the points on a scatterplot are spread all over the graph, it suggests that there is no clear relationship between the two variables being depicted. This indicates that the variables are not correlated.

Question 16

Jim thought that the strong negative correlation that he observed between depression and self-esteem meant that having a low self-esteem led to high levels of depression.Jim is misinterpreting the correlation by assuming

Accepted Answer

The answer of Jim thought that the strong negative correlation...

Question 17

When there is a _____ relationship,as scores on X increase,scores on Y decrease.

Accepted Answer

The description matches a negative relationship, where an increase in one variable is associated with a decrease in the other variable.

Question 18

In the case of a negative relationship,as scores on X _____,scores on Y _____.

Accepted Answer

In a negative relationship, as one variable increases, the other variable decreases.

Question 19

The _____ indicates the magnitude of a correlation coefficient.

Accepted Answer

The absolute value of a correlation coefficient indicates the strength of the relationship between two variables regardless of their negative or positive association. The slope refers to the steepness of an equation line, and the sign refers to whether the correlation is positive or negative. Therefore, the correct answer is C, absolute value.

Question 20

The problem of a correlation between two variables being dependent on another variable is called

Accepted Answer

The third variable problem refers to the situation where a correlation between two variables is actually due to their relationship with a third variable. This is a common issue in correlational research and highlights the importance of considering all relevant variables in analysis. Causality relates to the question of whether one variable is actually causing changes in another variable, and directionality concerns the direction of causality in relationships (i.e., which variable is causing changes in the other). Restrictive range refers to a situation where the range of scores on a variable is limited in some way, which can affect the strength or pattern of correlations with other variables.

Quiz 6: Correlational Methods and Statistics

A correlation coefficient of 0.00 is to _ as a correlation coefficient of -1.00 is to _.

An indication of the strength of the relationship between two variables is the _____.

A correlation coefficient of +1.00 is to _ as a correlation coefficient of -1.00 is to _.

A correlation coefficient of _____ indicates that the variables form a perfect linear relationship.

A variable that is truncated and has limited variability is said to have

Which of the following correlation coefficients represents the variables with the weakest degree of relationship?

Two variables increasing and decreasing together is to _ as two variables moving in opposite directions is to _.

The problem of _ can often be identified by using a _.

In the case of a positive relationship,as scores on X _,scores on Y _.

Per the text,we would expect the correlation between smoking and lung cancer to be _ whereas we would expect the correlation between mountain elevation and temperature to be _.