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13.E: Correlations (Exercises)

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    1. What does a correlation assess?
    Answer:

    Correlations assess the linear relation between two continuous variables

    1. What are the three characteristics of a correlation coefficient?
    2. What is the difference between covariance and correlation?
    Answer:

    Covariance is an unstandardized measure of how related two continuous variables are. Correlations are standardized versions of covariance that fall between negative 1 and positive 1.

    1. Why is it important to visualize correlational data in a scatterplot before performing analyses?
    2. What sort of relation is displayed in the scatterplot below?
    exer 12.5.png
    Answer:

    Strong, positive, linear relation

    1. What is the direction and magnitude of the following correlation coefficients
      1. -0.81
      2. 0.40
      3. 0.15
      4. -0.08
      5. 0.29
    2. Create a scatterplot from the following data:
    Hours Studying Overall Class Performance
    0.62 2.02
    1.50 4.62
    0.34 2.60
    0.97 1.59
    3.54 4.67
    0.69 2.52
    1.53 2.28
    0.32 1.68
    1.94 2.50
    1.25 4.04
    1.42 2.63
    3.07 3.53
    3.99 3.90
    1.73 2.75
    1.9 2.95
    Answer:

    Your scatterplot should look similar to this:

    Exer 12.7.png
    1. In the following correlation matrix, what is the relation (number, direction, and magnitude) between…
      1. Pay and Satisfaction
      2. Stress and Health
    Workplace Pay Satisfaction Stress Health
    Pay 1.00      
    Satisfaction 0.68 1.00    
    Stress 0.02 -0.23 1.00  
    Health 0.05 0.15 -0.48 1.00
    1. Using the data from problem 7, test for a statistically significant relation between the variables.
    Answer:

    Step 1: \(H_0: ρ = 0\), “There is no relation between time spent studying and overall performance in class”, \(H_A: ρ > 0\), “There is a positive relation between time spent studying and overall performance in class.”

    Step 2: \(df = 15 – 2 = 13, α = 0.05\), 1-tailed test, \(r^* = 0.441\).

    Step 3: Using the Sum of Products table, you should find: \(\overline{X} = 1.61, SS_X = 17.44, \overline{Y}= 2.95, SS_Y = 13.60, SP = 10.06, r = 0.65\).

    Step 4: Obtained statistic is greater than critical value, reject \(H_0\). There is a statistically significant, strong, positive relation between time spent studying and performance in class, \(r(13) = 0.65, p < .05\).

    1. A researcher collects data from 100 people to assess whether there is any relation between level of education and levels of civic engagement. The researcher finds the following descriptive values: \(M_X= 4.02, s_x = 1.15, M_Y= 15.92, s_y = 5.01, SS_X = 130.93, SS_Y = 2484.91, SP = 159.39\). Test for a significant relation using the four step hypothesis testing procedure.

    Contributors and Attributions

    • Foster et al. (University of Missouri-St. Louis, Rice University, & University of Houston, Downtown Campus)

    This page titled 13.E: Correlations (Exercises) is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Foster et al. (University of Missouri’s Affordable and Open Access Educational Resources Initiative) via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.