Regressions, Rooms and Kilowatts I4
October 14, 2015
Dr. Stephen Loro
TABLE OF CONTENTS
I. INTRODUCTION 3
Research Problem 3
Purpose of Study 3
Research Question 3
Null and Alternative Hypothesis 3
Alpha Level of Significance 3
Variable Definitions 4
II. REVIEW OF RELATED LITERATURE 4
III. METHODOLOGY 5
Research Design 5
Data Collection 5
Descriptive Statistics 6
Data Analysis 7
Statistical Methods 8
IV. RESULTS 9
V. CONCLUSIONS AND RECOMMENDATIONS 10
The mayor of Hollywood Hills is concerned about loss of electricity which may cause rolling blackouts during peak demand times in the hot summer months. This may lead to angry residents, loss of food, property, lower city wide business production and services and loss of life.
Purpose of the Study
The purpose of this research is to inform the Mayor of Hollywood Hills if there is a correlation in reference to the number rooms in a house and annual electricity consumption.
Is there a correlation between the number of rooms in a house and the amount of electricity used in a year as measured by kilowatt-hours?
Null and Alternative Hypothesis
H0: There is no significant correlation between the number of rooms in a house and the annual electricity consumption.
H1: There is a significant correlation between the number of rooms in a house and the annual electricity consumption.
Alpha Level of Significance
The alpha level of significance for this paper is .01 as set forth by the Mayor of Hollywood Hills.
The measured variable represents the number of rooms in a house in reference to the amount of electricity consumed annually. The number of rooms is quantitative, discrete, and ratio dat. Each added room directly correlates to household electricity consumption. A kilowatt represents the unit of...