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 35 33 40 40 42 55 62 54 59 61 Robbery Rate per​ 1,000 Population 58.0 61.1 73.0 76.1 78.5 89.5 99.6 95.4 103.2 115.6 Part 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):                                                     y ​=   enter your response here ​+   enter your response here x   where     y ​= Number of Patients and x​ = Robbery Rate. Part 3 In year​ 11, if the robbery rate increases to   133.40​, using trend​ analysis, the number of patients Dr. Fok will see​ =   enter your response here patients​ (round your response to two decimal​ places). Part 4 In year​ 11, if the robbery rate decreases to   87.6​, using trend​ analysis, the number of patients Dr. Fok will see ​=   enter your response here patients ​(round your response to two decimal​ places).

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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

35

33

40

40

42

55

62

54

59

61

Robbery Rate per​ 1,000 Population

58.0

61.1

73.0

76.1

78.5

89.5

99.6

95.4

103.2

115.6

Part 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):

                                               

 

 

y ​=

 

enter your response here

​+

 

enter your response here

x

 

where

 

 

y ​= Number of Patients and x​ = Robbery Rate.

Part 3

In year​ 11, if the robbery rate increases to

 

133.40​, using trend​ analysis, the number of patients Dr. Fok will see​ =

 

enter your response here

patients​ (round your response to two decimal​ places).

Part 4

In year​ 11, if the robbery rate decreases to

 

87.6​, using trend​ analysis, the number of patients Dr. Fok will see ​=

 

enter your response here

patients ​(round your response to two decimal​ places).

 

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
35
33
58.0 61.1
3
40
73.0
4
5
6
40
42
55
76.1 78.5 89.5
7
62
ŷ = | + X
99.6
8
9
54
59
95.4 103.2
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 133.40, using trend analysis, the number of patients Dr. Fok will see =
decimal places).
10
61
115.6
In year 11, if the robbery rate decreases to 87.6, using trend analysis, the number of patients Dr. Fok will see =
decimal places).
patients (round your response to two
patients (round your response to two
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 35 33 58.0 61.1 3 40 73.0 4 5 6 40 42 55 76.1 78.5 89.5 7 62 ŷ = | + X 99.6 8 9 54 59 95.4 103.2 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 133.40, using trend analysis, the number of patients Dr. Fok will see = decimal places). 10 61 115.6 In year 11, if the robbery rate decreases to 87.6, using trend analysis, the number of patients Dr. Fok will see = decimal places). patients (round your response to two patients (round your response to two
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