# Application of Correlation

*label*Mathematics

*timer*Asked: Feb 16th, 2019

*account_balance_wallet*$25

### Question Description

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

## Tutor Answer

Attached.

Running head: APPLICATION OF CORRELATION

Application of Correlation

Student’s Name

Institutional Affiliation

1

APPLICATION OF CORRELATION

2

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

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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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