HERE IS THE LINK TO THE DATASET
Research Project Instructions: Using the Statistics Class dataset called “Stat_Grades.sav,” answer
the following. ( LINK ABOVE)
1. Which of the five Quizzes
has the strongest relationship with overall student performance on the Final Exam?
Include all SPSS outputs that you will use to answer this question. Explain
your choice. Is this relationship strong enough to use these variables in a
prediction equation? Why or why not? Which is the best Quiz to use to predict
the Final Exam?
2. Create a scatterplot
to show the relationship between your chosen highest correlation quiz from problem
1 above, and the final exam points. Use your quiz as the independent variable
and the final exam points as the dependent variable. Fully label your scatter
plot graph. Assess this scatter plot and determine if it shows a strong
correlation between the quiz and the final exam? Why or why not? Explain and
3. Using the most
appropriate quiz, create a regression prediction equation that can be used to
predict a final exam score given a quiz score. Show all work and SPSS results
that you used to create the prediction equation. Be sure to specify which quiz
you chose and why. Explicitly note the dependent or criterion variable and the
independent or prediction variable. Show the entire prediction equation.
4. Using your prediction
equation, evaluate and predict what the final exam score would be for a student
who has a quiz score of 6. Show all work and how you calculated your
prediction. Do you agree with this prediction? Why or why not? Are predictions
such as this one 100% accurate? Are these types of predictions good estimates?
5. Suppose you would like
to predict a student’s final exam points using their short-form IQ score and
their Previous GPA. Calculate the
appropriate correlations (include SPSS correlation results here) and discuss
whether you expect your independent variables of short-form IQ score and
Previous GPA to offer a good prediction for final exam points. Include both
appropriate scatterplots in your discussion as well.
6. Create a prediction
equation to predict a student’s final exam points using their short-form IQ
score and their Previous GPA.
Show all work and steps, including any SPSS results that you use. Using
your prediction equation, predict the final exam score for a student with an IQ
of 120 and a GPA of 3.5. Show all work. Assess your results and discuss whether
you agree with this prediction?
For this Project, you will use the “Statistics Class” dataset
called Stat_Grades.sav, which can be found in the Doc Sharing area under the
Graded Projects category. This same “Statistics Class” dataset is used for the Projects
in Units 2, 7, and 9. There is a full description of this dataset in the Graded
Projects category of the Doc Sharing area. The Stat_Grades.sav dataset contains
data collected about students in three sections of a statistics class taught by
an instructor. You will also use SPSS for this Project.
Note: When asked to explain or discuss, make sure you use complete
sentences, paragraph form (single spacing), proper grammar, and correct
spelling. Minimal or incomplete responses can lose points. Include any SPSS
results that you use, but do not include SPSS results that are not part of your
Hint: In some cases, you are asked to determine “appropriate” variables and
to make calculations. This means that you will have to determine which variable(s)
you feel are best and why.
Remember to always show all of
your work and each of your steps.
You may type and place your answers and SPSS results directly
into this document.
Reminder for Unit 4 at the
“A” range. Please check the class syllabus for a full rubric.
Unit 4 Project Grading Rubric
135 - 150
Student work demonstrates mastery
of the objectives assessed by the Project.
This is evidenced by at least the following:
selection of the statistical procedure(s) is/are the most appropriate ones
for answering the question.
statistical procedure was calculated correctly using SPSS.
interpretation of the SPSS output is correct and complete, including applying
the regression equation to make a prediction.
results of the statistical analyses are presented in easy to understand,
non-statistical language that addresses the research question.
SPSS output that is not
needed in the solution is not included. Only appropriate SPSS output are
Graphs are included and properly labeled.
prediction equations are created and evaluated.