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 3 4 6. 7 8 9. 10 Number of Patients 35 33 39 41 42 54 58 54 57 61 Robbery Rate per 1,000 Population 57.8 60.6 73.0 75.2 78.5 89.5 99.6 94.8 102.2 116.2 The simple linear regression equation that shows the best relationship between the number of patients and the robbery rate is (round your responses to three decimal places): + where y = Number of Patients and x = Robbery Rate.

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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
6.
7
8
9.
10
Number of Patients
35
33
39
41
42
54
58
54
57
61
Robbery Rate per
1,000 Population
57.8
60.6
73.0
75.2
78.5
89.5
99.6
94.8
102.2
116.2
The simple linear regression equation that shows the best relationship between the number of patients and the
robbery rate is (round your responses to three decimal places):
+
where y = Number of Patients and x = Robbery Rate.
In
year 11, if the robbery rate increases to 131.20, using trend analysis, the number of patients Dr. Fok will see =
patients (round your response to two decimal places).
In
year 11, if the robbery rate decreases to 90.6, using trend analysis, the number of patients Dr. Fok will see =
patients (round your response to two decimal places).
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 2 3 4 6. 7 8 9. 10 Number of Patients 35 33 39 41 42 54 58 54 57 61 Robbery Rate per 1,000 Population 57.8 60.6 73.0 75.2 78.5 89.5 99.6 94.8 102.2 116.2 The simple linear regression equation that shows the best relationship between the number of patients and the robbery rate is (round your responses to three decimal places): + where y = Number of Patients and x = Robbery Rate. In year 11, if the robbery rate increases to 131.20, using trend analysis, the number of patients Dr. Fok will see = patients (round your response to two decimal places). In year 11, if the robbery rate decreases to 90.6, using trend analysis, the number of patients Dr. Fok will see = patients (round your response to two decimal places).
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