Access Millions of academic & study documents

Quantitative Analysis.1

Content type
User Generated
Subject
Business
School
Liberty University
Type
Homework
Showing Page:
1/32
Running Head: QUANTITATIVE DATA ANALYSIS 1
Quantitative data analysis
Student’s Name
Institutional Affiliation
Date

Sign up to view the full document!

lock_open Sign Up
Showing Page:
2/32
QUANTITATIVE DATA ANALYSIS 2
Part 1
A6.1 problem 9.1
A Scatter plot is a graph showing how two variables relate by showing each variable's
score and change in one affects the other. Scatter plots in this assignment show the line of best fit
to illustrate linear regression. The first scatter plot on grades of high school is sufficient with r=
0.50. The next plot illustrates that math and mosaic scores are weakly connected. In this plot,
points lie outside the best fit line, thereby analyzing to give a weak analysis. In the second scatter
graph, r= 0.21. Therefore, the second scatter plot requests the plan to fit a quadratic arc and fit a
linear column to make more summit accommodate more points, thus reducing the variance to
0.10 (Morgan, 2013). However, several linear assumptions would violate Pearson's correlation if
these plots are done, thereby making this plot a less useful statistic.

Sign up to view the full document!

lock_open Sign Up
Showing Page:
3/32

Sign up to view the full document!

lock_open Sign Up
End of Preview - Want to read all 32 pages?
Access Now
Unformatted Attachment Preview
Running Head: QUANTITATIVE DATA ANALYSIS Quantitative data analysis Student’s Name Institutional Affiliation Date 1 QUANTITATIVE DATA ANALYSIS 2 Part 1 A6.1 problem 9.1 A Scatter plot is a graph showing how two variables relate by showing each variable's score and change in one affects the other. Scatter plots in this assignment show the line of best fit to illustrate linear regression. The first scatter plot on grades of high school is sufficient with r= 0.50. The next plot illustrates that math and mosaic scores are weakly connected. In this plot, points lie outside the best fit line, thereby analyzing to give a weak analysis. In the second scatter graph, r= 0.21. Therefore, the second scatter plot requests the plan to fit a quadratic arc and fit a linear column to make more summit accommodate more points, thus reducing the variance to 0.10 (Morgan, 2013). However, several linear assumptions would violate Pearson's correlation if these plots are done, thereby making this plot a less useful statistic. QUANTITATIVE DATA ANALYSIS 3 QUANTITATIVE DATA ANALYSIS 4 A6.2, Problem 9.2 Pearson product-moment correlation is applied when data is from an average population. For this correlation to become effective, variables should be normally and identically distributed (IID). When these assumptions are violated, or when the data is ordinal, there is a need to apply the Pearson correlation's nonparametric equivalent (Morgan, 2013). Descriptive Statistics Std. Mean math a ...
Purchase document to see full attachment
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Studypool
4.7
Indeed
4.5
Sitejabber
4.4