RUNNING HEADER: Regression Analysis
Regression Paper
RES/342
October 10, 2011
University of Phoenix
Introduction
A simple linear regression analysis is a statistical technique that by fitting a linear equation, attempts to structure the relationship between two variables. The linear equation used is to predict values for the observed data. Learning Team C has the task of developing one research question and formulating a hypothesis, which is tested with linear regression analysis in regard to data retrieved from the Century National Bank data set. Before attempting to design a linear structure to the observed data, the team will first verify if there is a relationship between the two variables of interest. Subsequently the team will take into consideration that this does not imply that one variable causes the other; however, the team will entertain the possibility of an association significant between the two variables.
An important part of the statistical analysis of the data obtained from designed experiments is formed by regression analysis. Learning Team C will use the linear regression analysis hypothesis to determine the correlation between the number of ATM transactions and account balances of the Century National Bank customers.
The team will ascertain whether to reject or accept the hypothesis of the evidence of a correlation between ATM transfers and account balance. To aid in completing the assigned task, the team will use excel documents and scatter plots.
Century National Bank Data Set
Balance ATM Services Debit Interest City
1756 13 4 0 1 2
748 9 2 1 0 1
1501 10 1 0 0 1
1831 10 4 0 1 3
1622 14 6 0 1 4
1886 17 3 0 1 1
740 6 3 0 0 3
1593 10 8 1 0 1
1169 6 4 0 0 4
2125 18 6 0 0 2
1554 12 6 1 0 3
1474 12 7 1 0 1
1913 6 5 0 0 1
1218 10 3 1 0 1
1006 12 4 0 0 1
2215 20 3 1 0 4
137 7 2 0 0 3
167 5 4 0 0 4...