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 Number of Patients Robbery Rate per 1,000 Population 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): 1 37 57.8 2 32 61.1 3 4 41 42 73.4 75.2 where y = Dependent Variable and x = Independent Variable. Using linear regression, the number of patients Dr. Fok will see in year 11 = Using linear regression, the number of patients Dr. Fok will see in year 12 = 5 42 78.5 X 6 7 8 9 10 54 58 53 57 61 89.5 99.6 94.2 102.2 116.2 patients (round your response to two decimal places). patients (round your response to two decimal places). The coefficient of determination for the linear regression model is 0.8714. This shows that there is a and "Year." strong relationship between the "Number of Patients" not so strong

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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
5
6
7
8
9
10
Number of Patients
37
32
41
42
42
54
58
53
57
61
Robbery Rate per​ 1,000 Population
57.8
61.1
73.4
75.2
78.5
89.5
99.6
94.2
102.2
116.2
Part 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):
                                               
y
​=
enter your response here
​+
enter your response herex
 
where
y
​= Dependent Variable and x​ = Independent Variable.
Part 3
Using linear
regression​,
the number of patients Dr. Fok will see in year
11
​=
enter your response here
patients​ (round your response to two decimal​ places).
Part 4
Using linear
regression​,
the number of patients Dr. Fok will see in year
12
​=
enter your response here
patients ​(round your response to two decimal​ places).
Part 5
The coefficient of determination for the linear regression model is
0.8714.
This shows that there is a
 
strong
not so strong
relationship between the​ "Number of​ Patients" and​ "Year."

 

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
Number of Patients
Robbery Rate per
1,000 Population
1
2
3
4
37
32
41
42
57.8 61.1 73.4 75.2
5
42
78.5
where y = Dependent Variable and x = Independent Variable.
Using linear regression, the number of patients Dr. Fok will see in year 11 =
Using linear regression, the number of patients Dr. Fok will see in year 12 =
6
7
8
9
10
54
58
53
57
61
89.5 99.6 94.2 102.2 116.2
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):
ŷ=+x
patients (round your response to two decimal places).
patients (round your response to two decimal places).
The coefficient of determination for the linear regression model is 0.8714. This shows that there is a
and "Year."
strong
relationship between the "Number of Patients"
not so strong
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 Number of Patients Robbery Rate per 1,000 Population 1 2 3 4 37 32 41 42 57.8 61.1 73.4 75.2 5 42 78.5 where y = Dependent Variable and x = Independent Variable. Using linear regression, the number of patients Dr. Fok will see in year 11 = Using linear regression, the number of patients Dr. Fok will see in year 12 = 6 7 8 9 10 54 58 53 57 61 89.5 99.6 94.2 102.2 116.2 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): ŷ=+x patients (round your response to two decimal places). patients (round your response to two decimal places). The coefficient of determination for the linear regression model is 0.8714. This shows that there is a and "Year." strong relationship between the "Number of Patients" not so strong
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