In: Math
Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Fok has seen each year for the past 10 years. It also indicates what the robbery rate was in New Orleans during the same year.
Year |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
Number of Patients |
37 |
34 |
40 |
41 |
41 |
54 |
60 |
53 |
58 |
62 |
Robbery Rate per 1,000 Population |
58.0 |
60.6 |
73.0 |
75.7 |
81.5 |
89.0 |
101.5 |
94.2 |
104.1 |
116.2 |
The simple linear regression equation that shows the best relationship between the number of patients and year is (round your responses to three decimal places):
ModifyingAbove y with carety =??????+??????x where
ModifyingAbove y with carety = Dependent Variable and x = Independent Variable.
Using linear regression, the number of patients Dr. Fok will see in year 11=????? patients (round your response to two decimal places).
Using linear regression, the number of patients Dr. Fok will see in year 12=???? patients (round your response to two decimal places).
The coefficient of determination for the linear regression model is 0.8621 This shows that there is a (strong) OR (not so strong) relationship between the "Number of Patients" and "Year."
Year | Number of Patients | Robbery rate per 1,000 Population |
1 | 37 | 58 |
2 | 34 | 60.6 |
3 | 40 | 73 |
4 | 41 | 75.7 |
5 | 41 | 81.5 |
6 | 54 | 89 |
7 | 60 | 101.5 |
8 | 53 | 94.2 |
9 | 58 | 104.1 |
10 | 62 | 116.2 |
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.928462 | |||||||
R Square | 0.862041 | |||||||
Adjusted R Square | 0.844796 | |||||||
Standard Error | 4.110961 | |||||||
Observations | 10 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 844.8 | 844.8 | 49.98817 | 0.000105 | |||
Residual | 8 | 135.2 | 16.9 | |||||
Total | 9 | 980 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 30.4 | 2.808321 | 10.82497 | 4.68E-06 | 23.924 | 36.876 | 23.924 | 36.876 |
Year | 3.2 | 0.452602 | 7.070231 | 0.000105 | 2.156298 | 4.243702 | 2.156298 | 4.243702 |
So, the simple linear equation is,
Number of Patients = 30.400 + 3.2 * Year
the number of patients Dr. Fok will see in year 11= 30.4 + 3.2 * 11
= 65.60 Patients.
the number of patients Dr. Fok will see in year 12 = 30.4 + 3.2 * 12
= 68.80 Patients.
and,
The coefficient of determination for the linear regression model is 0.8621. This shows that there is a strong relationship between the "Number of Patients" and "Year."