# Correlation and Bivariate Regression

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znepvn40

Mathematics

QUANTITATIVE REASONING AND ANALYSIS

### Description

Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.

To prepare for this Discussion:

• Review this week’s Learning Resources and media program related to regression and correlation.
• Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of correlations between two variables.
• Construct a research question using the General Social Survey dataset, which can be answered by a Pearson correlation and bivariate regression.

#### By Day 3

Use SPSS to answer the research question. Post your response to the following:

1. What is your research question?
2. What is the null hypothesis for your question?
3. What research design would align with this question?
4. What dependent variable was used and how is it measured?
5. What independent variable is used and how is it measured?
6. If you found significance, what is the strength of the effect?

Magnusson’s web blog

Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

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Attached.

Correlation and Bivariate Regression

1

CORRELATION AND BIVARIATE REGRESSION

NAME

INSTITUTION

DATE

Correlation and Bivariate Regression

2

1. Research question
Can the level of income of an individual be affected by the hours spent watching TV per day, hours
spent working per week, and level of education?

2. Null hypothesis
One’s income cannot be determined by one’s level of academic, the time and hours they spent
working over the day and the hours they spent while watching television set per day.
3. Research design
This is a correlational study design. According Slavin (1992), Correlational designs are used when
we have two or more quantitative variables from the same group of subjects, and we intend to
determine whether there is any connection that can relate two or more variables. This is the same
scenario we have here.

4. Dependent variable and how is it measured
The dependent variable is respondent’s income. This is a metric variable and is measured in an
interval scale.
5. Independent variable and how is it measured
The independent variable is Number of Hours Usually Work a Week. It is a metric variable
measured on an interval scale.

Correlation and Bivariate Regression

3

Control Variables
Highest year of school completed and Hours per day watching TV ...

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