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 Robbery Rate per 1,000 Population 36 34 41 40 42 55 58 53 57 60 58.0 61.1 72.6 75.7 81.1 89.0 101.5 94.2 102.2 115.6 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): y = 30.798 + 3.055'x where y = Dependent Variable and x = Independent Variable. Using linear regression, the number of patients Dr. Fok will see in year 11 = 63.5 patients (round your response to two decimal places). Using linear regression, the number of patients Dr. Fok will see in year 12 = 67.46 patients (round your response to two decimal places). The coefficient of determination for the linear regression model is 0.8684. This shows that there is a strong relationship between the "Number of Patients" and "Year."

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Can you assist with question 11. I dont not understand the process. Can you show me this step by step so that I apply this to my notes. Thank you kindly

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
4.
6
7
8
9
10
Number of Patients
36
34
41
40
42
55
58
53
57
60
Robbery Rate per
1,000 Population
58.0
61.1
72.6
75.7
81.1
89.0
101.5
94.2
102.2
115.6
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):
y = 30.798 + 3.055'x
where y = Dependent Variable and x = Independent Variable.
Using linear regression, the number of patients Dr. Fok will see in year 11 = 63.5 patients (round your response to two decimal places).
Using linear regression, the number of patients Dr. Fok will see in year 12 = 67.46 patients (round your response to two decimal places).
The coefficient of determination for the linear regression model is 0.8684. This shows that there is a strong
relationship between the "Number of Patients"
and "Year."
Transcribed Image Text: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 4. 6 7 8 9 10 Number of Patients 36 34 41 40 42 55 58 53 57 60 Robbery Rate per 1,000 Population 58.0 61.1 72.6 75.7 81.1 89.0 101.5 94.2 102.2 115.6 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): y = 30.798 + 3.055'x where y = Dependent Variable and x = Independent Variable. Using linear regression, the number of patients Dr. Fok will see in year 11 = 63.5 patients (round your response to two decimal places). Using linear regression, the number of patients Dr. Fok will see in year 12 = 67.46 patients (round your response to two decimal places). The coefficient of determination for the linear regression model is 0.8684. This shows that there is a strong relationship between the "Number of Patients" and "Year."
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