Application of Correlation

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statistics discussion and assignment need completed. statistics discussin and assignment need completedstatistics discussin and assignment need completedstatistics discussin and assignment need completed

ephykam
School: Boston College

Attached.

Application of Correlation
Student’s Name
Institutional Affiliation

1

APPLICATION OF CORRELATION

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Application of Correlation
Various scenarios in professional, career specialization as well as in real life apply
correlation. For example, in professional life, one would establish the existence of an association
between a person weight and age.
Research Question
Is there a significant association between the weight and the age of a person?
Appropriateness of Correlation
Notably, in this case, the correlation would play a significant role in examining the association
between age and weight of an individual, essential in making implication to social change related
to public health.
Scale of Measurement
The variables under correlational investigation include the age of the respondents and
their corresponding body weight. Notably, both variables are measured as ratio scales. This
satisfies one of the correlational assumptions, which requires that the variables under
correlational analysis must assume either interval or ratio scale of measurement.
Expected Results
In my opinion, the expected results from the correlation analysis should indicate a strong
positive association between the age of an individual and their weight, following a high value of
Pearson’s r of more than 0.7. High R-value suggests a strong association between two variables
under correlational examination.

Running head: DATA ANALYSIS AND APPLICATION

Data Analysis and Application
Student’s Name
Institutional Affiliation

1

DATA ANALYSIS AND APPLICATION
Data Analysis and Application
Step 1: Section 1
The data under investigation explores student performance in school in different quizzes
and final exam determining whether a learner pass or fails in the year in school. The grades data
contains several variables that entail the gender, ethnicity, year in school, and the learners score
in GPA scores. In this case, the information contained in the dataset provides insights on how a
student's grades relate based on their GPA score and influence of the quizzes on the student’s
finals.
Scales of Measure...

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