Question

In: Psychology

Describe in words the nature of the relationship between each pair of variables as indicated by...

Describe in words the nature of the relationship between each pair of variables as indicated by the value of the correlation coefficient. Be sure to include

    a. the direction of the relationship

    b. the strength of the relationship.

    c. a verbal description of the way the variables "go together." Please read the interpretation below, to considered your interpretation complete, you need to write the verbal description with a similar format. The first sentence describes the direction and strength of the correlation. The second sentence describes how the variables correlate and the third sentence explain how one variable affects the other. If any of these sentences are missing on the interpretation, you will not receive any credit for the answers.

Example

r = + .85 between increased caloric intake and body weight.

                       

Interpretation: There is a very strong positive relationship between caloric intake and body weight. As the caloric intake increases the body weight increases. The more calories a person consumes the greater the increase in his/her weight

Using the interpretation above as an example, write the interpretation

1. r = -.96 between craving for pizza and ability to concentrate on studying.

2. r = +.02 between length of marriage and marital satisfaction.

3. r = +.55 between parent and child intelligence test scores.

Solutions

Expert Solution

1. r = -.96 between craving for pizza and the ability to concentrate on studying.

Interpretation: There is a very strong negative relationship between craving for pizza and the ability to concentrate on studying. As the craving for pizza increases the ability to concentrate on studying decreases. The more people crave for pizza the ability to concentrate on studying become lesser.

2. r = +.02 between length of marriage and marital satisfaction.

Interpretation: There is a positive relationship but it is not strong and significant relationship between length of marriage and marital satisfaction. It is near zero. It means there is no relationship between length of marriage and marital satisfaction. If there is change in length of marriage it will not influence marital satisfaction.   

3. r = +.55 between parent and child intelligence test scores.

Interpretation: There is a very strong positive relationship between cparent and child intelligence test scores. The more parent scores on intelligence the greater the increase child's intelligence. It means those children are more intelligent whose parents are more intelligent.


Related Solutions

What is the nature of the relationship between words and language and social and cognitive boundaries...
What is the nature of the relationship between words and language and social and cognitive boundaries and distinctions?
Describe in 200+ words the nature and the differences between "for" and "from" AGI deductions. Describe...
Describe in 200+ words the nature and the differences between "for" and "from" AGI deductions. Describe and explain in 200+ words the specific types of deductions listed on the front of the 1040 Form and on the Schedule A.
Based on your scatter diagram, is there a relationship between the variables? If yes, describe the...
Based on your scatter diagram, is there a relationship between the variables? If yes, describe the relationship. -Does it appear to be positive or negative? Strong or weak or moderate? -What would your guess of r, the correlation coefficient, be?
Plot the total, marginal, and average products and explain in detail the relationship between each pair...
Plot the total, marginal, and average products and explain in detail the relationship between each pair of curves. Explain why marginal product first rises, then declines, and ultimately becomes negative. What bearing does the law of diminishing returns have on short-run costs? Be specific. “When marginal product is rising, marginal cost is failing. And when marginal product is diminishing. Marginal cost is rising.” Illustrate and explain graphically.
Describe if there is a relationship between the variables Product Quality, Competitive Price, Accessibility, and Advertising...
Describe if there is a relationship between the variables Product Quality, Competitive Price, Accessibility, and Advertising Capability towards Customer Satisfaction, use these data Customer Satisfaction Customer Satisfaction Pearson Correlation 1 Sig. (2-tailed) N 100 Product Quality Pearson Correlation .486** Sig. (2-tailed) .000 N 100 Competitive Price Pearson Correlation .113 Sig. (2-tailed) .265 N 100 Accessibility Pearson Correlation .305** Sig. (2-tailed) .002 N 100 **. Correlation is significant at the 0.01 level (2-tailed). 2. State also the hypothesis 3. which has...
Is there a relationship between the variables and Success Rating?
Is there a relationship between the variables and Success Rating?
Think of a pair of variables that has a strong linear relationship, either positive or negative,...
Think of a pair of variables that has a strong linear relationship, either positive or negative, then find data that you think supports your assertion. You need to get real data for this problem, not just make numbers up to fit your hypothesis.
Describe the relationship between enterprise architecture and organizational performance. 300 words
Describe the relationship between enterprise architecture and organizational performance. 300 words
Contract the scatter plot of these data. Describe relationship between x and y. What type of relationship appears to exist between two variables?
Use the following data: x y 10 3 6 7 9 3 3 8 2 9 8 5 3 7 Contract the scatter plot of these data. Describe relationship between x and y. What type of relationship appears to exist between two variables? (you can copy and past from Excel,SAS,etc) Compute the correlation coefficient r. Test to determine whether the population correlation coefficient is positive. Use the α=0.01 level to conduct test. (calculate test statistics and make conclusion)
Identify the most likely type of causal relationship between each of the following pairs of variables...
Identify the most likely type of causal relationship between each of the following pairs of variables and justify your answer. Assume that a strong correlation has been observed with the first variable as the independent variable. a) Hours spent studying Disney facts and scores on a Disney quiz, Justify your selection. Cause and Effect Common Cause Factor Reverse Cause and Effect Accidental Presumed b) Number of Disney themed parties a person holds and number of times a person has been...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT