Introduction
The data given to us was from a small hospital in Rhode Island. The data is collected from randomly selected emergency room patients. The variables given to us included: gender: female or male, age: 1-92 years, stayed overnight: yes or no, visits: 1-38 per year, hours: 1-21, money: $98-$3674, and aliment: varies. The data collected was sample data since it is only a portion of the population that is representative. The sample size of this data is n= 120. I wanted to be very specific in my analysis so I choose to look closely into two variables, age and the number of visits per year. I want to study and evaluate the correlation between the age of the patients and the amount of times they visited the hospital that year. I believe that the patient with the high number of visits is affected by the age of the patient.
Hypothesis:
HO: The older the patient is, the lower the numbers of visits are per year
Ha: The older the patient is, the higher the numbers of visits are per year
Statistical Analysis …show more content…
This will allow me to reject or fail to reject my null hypothesis and know if there is a statistically significant relationship between my variables or not. After calculating the regression analysis, it shows that there is a no correlation because there is no ways of determining from the scatter plot that there is a pattern rising or falling. There is no evidence that our independent variable, the ages of the patients, is correlated to the dependent variable, number of visits the patient has had in a year. My regression equation (Exhibit 5): y = 4.714 + 0.049⋅x based on the original regression formula: y = a + b⋅x. In terms of the adjusted r squared (Exhibit 4), the independent variable (x), the ages of the patients, explains 1.6% of the variation in the dependent variable (y), the number times they visited the hospital that
The data given to us was from a small hospital in Rhode Island. The data is collected from randomly selected emergency room patients. The variables given to us included: gender: female or male, age: 1-92 years, stayed overnight: yes or no, visits: 1-38 per year, hours: 1-21, money: $98-$3674, and aliment: varies. The data collected was sample data since it is only a portion of the population that is representative. The sample size of this data is n= 120. I wanted to be very specific in my analysis so I choose to look closely into two variables, age and the number of visits per year. I want to study and evaluate the correlation between the age of the patients and the amount of times they visited the hospital that year. I believe that the patient with the high number of visits is affected by the age of the patient.
Hypothesis:
HO: The older the patient is, the lower the numbers of visits are per year
Ha: The older the patient is, the higher the numbers of visits are per year
Statistical Analysis …show more content…
This will allow me to reject or fail to reject my null hypothesis and know if there is a statistically significant relationship between my variables or not. After calculating the regression analysis, it shows that there is a no correlation because there is no ways of determining from the scatter plot that there is a pattern rising or falling. There is no evidence that our independent variable, the ages of the patients, is correlated to the dependent variable, number of visits the patient has had in a year. My regression equation (Exhibit 5): y = 4.714 + 0.049⋅x based on the original regression formula: y = a + b⋅x. In terms of the adjusted r squared (Exhibit 4), the independent variable (x), the ages of the patients, explains 1.6% of the variation in the dependent variable (y), the number times they visited the hospital that