logo

Statistics

Provide an in-depth analysis of data through the lens of regression analysis and explore measures of central tendency, outliers, and significant variables in the model.

7 Pages924 Words482 Views
   

Added on  2022-11-25

About This Document

This document provides information on statistics, including an analysis of brain size and the relationship between head size and brain weight. It also discusses infection risk in hospitals and using medical expenses to project insurance rates.

Statistics

Provide an in-depth analysis of data through the lens of regression analysis and explore measures of central tendency, outliers, and significant variables in the model.

   Added on 2022-11-25

ShareRelated Documents
Running head: STATISTICS 1
Statistics
Student Name
Professor’s Name
University Name
Date
Statistics_1
STATISTICS 2
Part 1: Brain Size
Part A: Excel Task
a. We need to use excel to compute the five-number summary using the
head size column.
Answer
The five-number summary include the minimum, 1st quartile, median, 3rd quartile,
and maximum (Hinton, 2014). The summary as obtained in excel for the head size
column is as shown below:
b. The interquartile range and lower/ upper limits for the outliers obtained
in excel are as shown in the figure below.
c. The maximum value is an outlier since it lies beyond the upper limit of
the outlier (Evans & Basu, 2013).
d. The scatter plot created to show the relationship between the head size and the brain
weight inclusive of the regression equation and the r-squared value is as shown below:
Statistics_2
STATISTICS 3
e. The Residual vs. fitted plot created using the excel regression tool is as shown below:
Part B: Analysis of Results
1. The type of relationship that exist between head size and brain weight is an averagely
strong positive relationship (Freund, 2014). This is because the multiple r value is
positive and approaching 1. Moreover, the slope of the regression equation is positive.
2. The outliers of the dataset are reasonable in the sense that they are very few hence and
very close to the upper limit and hence has no huge impact on the result obtained.
Omitting the outlier is not necessarily important since it has very little impact on the
obtained result.
Statistics_3

End of preview

Want to access all the pages? Upload your documents or become a member.

Related Documents
The Normal Probability Plots
|5
|338
|96

Regression Models for Desklib Online Library
|11
|1789
|244

Panama Canal Expansion Project | Report
|17
|1868
|21

Derivatives Coursework: Regression, Black-Scholes-Merton Formula, and ANOVA
|34
|6717
|491

Derivatives Coursework: Regression, Black-Scholes-Merton Formula, and Strategies
|32
|6924
|137

Business Statistics Assignment
|12
|1130
|436