I have chapters 13&14 (evens only).
I have included the Ebook. It is password protected username: sbennett06 password: Sb567890 (case sensitive).
Some of the answers availabel in google as well.
I have attached a copy of my last homework assignment for your reference.
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Clarifying the Concepts
13.2 What is a linear relation?
13.4 What is the difference between a positive correlation and a negative correlation?
13.6 When we have a straight-line relation between two variables, we use a Pearson correlation coefficient. What does this coefficient describe?
13.8 How are deviation scores used in assessing the relation between variables?
13.10 What are the null and research hypotheses for cor-relations?
13.12 Describe the third assumption of hypothesis testing with correlation.
Calculating the Statistics
13.14 Decide which of the three correlation coefficient values below goes with each of the scatterplots presented in Exercise 13.13 above.
a. 0.545
b. 0.018
c. _0.20
13.16 For each of the pairs of correlation coefficients provided, determine which one indicates a stronger relation between variables:
a. _0.28 and _0.31
b. 0.79 and 0.61
c. 1.0 and _1.0
d. _0.15 and 0.13
13.18 Create a scatter plot for the following data:
13.20 Calculate the correlation coefficient for the data provided in Exercise 13.17 by completing these three steps:
a. Calculate deviation scores, multiply the deviations for each individual, and sum all products. This is the numerator of the correlation coefficient equation.
b. Calculate the sum of squares for each variable. Then compute the square root of the product of the sums of squares. This is the denominator of the correlation coefficient equation.
c. Divide the numerator by the denominator to compute the coefficient, r.
13.22 Calculate the correlation coefficient for the data provided in Exercise 13.19 by completing these three steps:
a. Calculate deviation scores, multiply the deviations for each individual, and sum all products. This is the numerator of the correlation coefficient equation.
b. Calculate the sum of squares for each variable. Then compute the square root of the product of the sums of squares. This is the denominator of the correlation coefficient equation.
c. Divide the numerator by the…
Clarifying the Concepts
13.2 What is a linear relation?
13.4 What is the difference between a positive correlation and a negative correlation?
13.6 When we have a straight-line relation between two variables, we use a Pearson correlation coefficient. What does this coefficient describe?
13.8 How are deviation scores used in assessing the relation between variables?
13.10 What are the null and research hypotheses for cor-relations?
13.12 Describe the third assumption of hypothesis testing with correlation.
Calculating the Statistics
13.14 Decide which of the three correlation coefficient values below goes with each of the scatterplots presented in Exercise 13.13 above.
a. 0.545
b. 0.018
c. _0.20
13.16 For each of the pairs of correlation coefficients provided, determine which one indicates a stronger relation between variables:
a. _0.28 and _0.31
b. 0.79 and 0.61
c. 1.0 and _1.0
d. _0.15 and 0.13
13.18 Create a scatter plot for the following data:
13.20 Calculate the correlation coefficient for the data provided in Exercise 13.17 by completing these three steps:
a. Calculate deviation scores, multiply the deviations for each individual, and sum all products. This is the numerator of the correlation coefficient equation.
b. Calculate the sum of squares for each variable. Then compute the square root of the product of the sums of squares. This is the denominator of the correlation coefficient equation.
c. Divide the numerator by the denominator to compute the coefficient, r.
13.22 Calculate the correlation coefficient for the data provided in Exercise 13.19 by completing these three steps:
a. Calculate deviation scores, multiply the deviations for each individual, and sum all products. This is the numerator of the correlation coefficient equation.
b. Calculate the sum of squares for each variable. Then compute the square root of the product of the sums of squares. This is the denominator of the correlation coefficient equation.
c. Divide the numerator by the…
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