Question

Give a plausible example of a three-variable research problem in which partial correlation would be a useful analysis. Define X1, X2, and Y. Make sure that you indicate which of your three variables is the "controlled for" variable ( X2). What results might you expect to obtain for this partial correlation, and how would you interpret your results (e.g., spurious correlation, mediation, moderation, and so on)?

Answer #1

Give a concrete example of a research problem in which you would
use Correlation and Regression Method, and indicate whether you
expect that the correlation would be negative or positive.
What varieties of Interpretive Research do you know? Give an
example.

•List three variables (X1, X2, X3) you’d include in a Multiple
Regression Model in order to better predict an outcome (Y)
variable. For example, you might list three variables that could be
related to how long a person will live (Y). Or you might list three
variables that contribute to a successful restaurant. Your
Regression Model should have three variables that will act as
“predictors” (X1, X2, X3) of a “criterion” (Y’). Note that the
outcome or criterion variable (e.g....

For each of the following pairs of variables, indicate whether
you would expect a positive correlation, a negative correlation, or
little or no correlation. For the ones which are correlated, is the
relationship causal? If so, which one causes (or at least
influences) the other? If not, suggest a third variable which might
be related to both.
a:The number of cavities in elementary school children and their
vocabulary size.
b:The number of fire engines at each fire and the damage...

Select at least three variables that you believe have a linear
relationship.
A. Specify which variable is dependent and which are
independent.
B. Collect the data for these variables and describe your data
collection technique and why it was appropriate as well as why the
sample size was best.
C. Submit the data collected by submitting the SPSS data file
with your submission.
D. Find the Correlation coefficient for each of the possible
pairings of dependent and independent variables and...

Which of the following is an example of the hidden third
variable problem?
Jeff conducts a correlation analysis to determine if there is a
relationship between age and number of times a person has traveled
outside of the country. He finds no correlation between the two
variables.
Justin conducts a correlation analysis to see if there is a
relationship between % of surface body hair and risk of having a
stroke in males. He finds a strong, positive correlation. However,...

Quantitative Variable we are interested in comparing: #
of HR’s (Home Run’s)
American
League:
National League:
Sample Size:
28
Sample Size:
22
Sample Mean:
20.14286
Sample Mean:
18.77
Sample Standard
Deviation:
10.44107
Sample Standard
Deviation:
8.257
You are now going to do a two-sample hypothesis test on this
data
Hypothesis: I would expect an American League player to
hit more HR’s (Home Run’s) on average, than a National League
Player?
Introduction: State...

Quantitative Variable we are interested in comparing: #
of HR’s (Home Run’s)
American
League:
National League:
Sample Size:
28
Sample Size:
22
Sample Mean:
20.14286
Sample Mean:
18.77
Sample Standard
Deviation:
10.44107
Sample Standard
Deviation:
8.257
You are now going to do a two-sample hypothesis test on this
data
Hypothesis: I would expect an American League player to
hit more HR’s (Home Run’s) on average, than a National League
Player?
Introduction: State...

Part C: Regression and Correlation Analysis
Use the dependent variable (labeled Y) and the independent
variables (labeled X1, X2, and X3) in the data file. Use Excel to
perform the regression and correlation analysis to answer the
following.
Generate a scatterplot for the specified dependent variable (Y)
and the X1 independent variable, including the graph of the "best
fit" line. Interpret.
Determine the equation of the "best fit" line, which describes
the relationship between the dependent variable and the selected...

I would prefer a handwritten answer to this question with
detailed steps
A large research and development firm rates the performance of
each member of its technical staff on a scale of 0 to 100, and this
merit rating is used to determine the size of the person’s pay
raise for the coming year. The firm’s personnel department is
interested in developing a regression model to help them forecast
the merit rating that an applicant for a technical position will...

In this second portion of the Final Exam, you will critically
evaluate a quantitative research study on a social science topic.
Your instructor will post an announcement with the reference for
the article assigned for the exam. The study will be from a
peer-reviewed journal and published within the last 10 years.
In the body of your critique, describe the statistical
approaches used, the variables included, the hypothesis(es)
proposed, and the interpretation of the results. In your
conclusion, suggest other...

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