Question

Annabelle is a student at U of A. She is interested in the
relationship between agreeableness and job performance for
salespeople. She collects data and finds a statistically
significant correlation between the two variables, *r* =
-0.36, *r ^{2}* = 0.13. Please explain her findings.
Can you make a conclusion about the causal relationship between the
two variables?

Answer #1

A researcher is interested in the relationship between one’s
satisfaction with pay (X) and one’s commitment to the organization
(Y). The researcher collects data from 24 employees and finds that
the correlation between the two variables is r = 0.22.
e. Compute an effect size.

Daenerys Stormborn, an HR professional who works for Seven
Kingdoms Inc., believes that job satisfaction is the most important
predictor of employee job performance. To test this belief, she
collects data from the 2017 performance records of a random sample
of 100 employees. In the spring of 2018, she asks this same group
of 100 employees to complete a job satisfaction survey and then
performs a series of statistical tests aimed at providing evidence
for a causal relationship between job...

Conduct a test of the relationship between the two variables
below. Select the most accurate description of your findings
below.
SAT Scores
ACT Scores
1520
23
1480
24
1300
19
1200
21
1500
24
1100
20
1170
19
1200
21
900
18
A postive relationship that was NOT statistically significant
was detected.
A strong, positive, and statistically significant relationship
was detected.
There is no relationship between the variables
A statistically significant inverse correlation was detected

9. Dr. I. Feilgute is a psychologist interested in studying the
relationship between self-esteem and grades. Below are data
indicating students’ self-esteem scores and their average
grades.
A. Graph these data.
B. From the results shown below, use Pearson’s
“r” test to determine whether there is a significant relationship
between these two variables.
C. How much variability is explained by the
correlation?
D. How would you explain the possible
causal relationships between these two
variables?
self-esteem scores ...

A researcher is interested in the relationship between one’s
satisfaction with pay (X) and one’s commitment to the organization
(Y). The researcher collects data from 24 employees and finds that
the correlation between the two variables is r = 0.22.
a. State the null hypothesis.
b. Identify the appropriate statistical test
c. Calculate the appropriate test statistic. Make sure to report
the degrees of freedom for the statistical test (if appropriate).
You must show your work to receive full credit....

A researcher investigates the relationship between minority
stress and depression. He collects data from 15 individuals and
finds a correlate coefficient of r = .55. Please determine the
direction & strength of the relationship and statistical
significance at an alpha level of .05.
a. There is a statistically significant large, negative
relationship between minority stress and depression, r = .55, p
< .05
b. There is a statistically significant large, positive
relationship between minority stress and depression, r = .55,...

A skin care company has data on the monthly rainfall and the
sales of sun screen lotion for the 3 months of June, July, and
August for the last 20 years. It has calculated the correlation for
the 60 pairs of values. The correlation, r, is –0.310
1. The critical value for testing correlation for this data at a
significance level of 0.05 (rounded to 3 decimal places) is:
2. What is the appropriate conclusion for a hypothesis test at...

A researcher was interested in the relationship between the
reported stress level (variable X) and performance on memory test
(variable Y).
The data collected on a sample of n =
62 undergraduate students produced the following
results: MX = 4, SSx = 30,
MY = 6, SSY= 90, and
SP = - 15
A. Is there a significant correlation between
stress level and memory performance? Assume 2-tailed test,
p < .05. For full credit your answer should
include:
Null and alternative...

A business analyst was interested in the relationship between
sales and profit
global trading companies. She collected data (in millions of euros)
from 50 at random
selected trading companies and did a regression analysis. The
statistics program provided
printing below. Assume that the conditions for regression analysis
are met.
Mean Std Dev
Profit 20,839 796,977
Sales 4178.29 7011.63
R-Squared = 66.2% s = 466.2
Variable Coefficient SE (Coeff)
Constant -176.644 61.16
Sales 0.0925 0.0075
(a) Is the relationship between sales...

A business analyst was interested in the relationship between
sales and profit
global trading companies. She collected data (in millions of euros)
from 50 at random
selected trading companies and did a regression analysis. The
statistics program provided
printing below. Assume that the conditions for regression analysis
are met.
Mean Std Dev
Profit 20,839 796,977
Sales 4178.29 7011.63
R-Squared = 66.2% s = 466.2
Variable Coefficient SE (Coeff)
Constant -176.644 61.16
Sales 0.0925 0.0075
(a) Is the relationship between sales...

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