For the Auto Survey data set, create a multiple regression model created with Independent variables "Vehicle Age", "Mileage" and categorical variable "Purchased" against dependent variable MPG. What is the predicted (rounded up) MPG when Vehicle Age = 2 %3D Mileage=D3000 and the car is new? (Convert "Purchased" to dummy variable) Select one: O a. 28 O b. 31 Ос. 30 O d. 34
For the Auto Survey data set, create a multiple regression model created with Independent variables "Vehicle Age", "Mileage" and categorical variable "Purchased" against dependent variable MPG. What is the predicted (rounded up) MPG when Vehicle Age = 2 %3D Mileage=D3000 and the car is new? (Convert "Purchased" to dummy variable) Select one: O a. 28 O b. 31 Ос. 30 O d. 34
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
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![For the Auto Survey data set, create a multiple regression
model created with Independent variables "Vehicle Age",
"Mileage" and categorical variable "Purchased" against
dependent variable MPG.
What is the predicted (rounded up) MPG when Vehicle Age = 2
Mileage=D3000 and the car is new?
%3D
(Convert "Purchased" to dummy variable)
Select one:
O a. 28
O b. 31
Ос. 30
O d. 34
A
D
Auto Survey
14
15
Gender Type
Male
5 Female
6 Male
7 Female
8 Female
9 Female
10 Male
11 Male
12 Male
13 Female
14 Male
15 Male
16 Female
17 Female
18 Female
19 Female
Purchased Vehicle Age Mileage MPG
Used
16
Mid-size
Mid-size
Small
15
127233
28.7
43.4
17
New
1
23970
77392
185397
26001
180643
72083
New
7
24
18
Large SUV Used
Small
Minivan
Small
Small
Small
Small
Minivan
Small SUV Used
Small
Mid-size
14
15.2
19
New
37
20
New
6.
20
Used
45.7
21
22
New
11
165353
42
Used
205288
142897
182584
13
33
New
Used
23
7
31
14
12
24
13
140479
22114
20
25
New
2
28
New
0.25
7
3454
28.3
21
26
27
28
29
Large SUV New
130905
Small
Used
10
105628
35
20 Female
Small
New
5
48678
30.4
21 Male
Mid-size
New
0.5
6849
40.2
30
22 Female
Small
Used
10
137941
30
31
23 Female
Small SUV New
29823
24.9
24 Male
Small SUV Used
32
33
14
85763
21
25 Female
Small
Used
12
134172
31
34
26 Male
Mid-size
Used
12
86387
27
27
35
28
36](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F27c6ee52-9ac5-4548-83b7-1032ffeb3d2b%2F35f924a4-2e85-45da-add5-106990c6fe6c%2Fnvhxb84_processed.jpeg&w=3840&q=75)
Transcribed Image Text:For the Auto Survey data set, create a multiple regression
model created with Independent variables "Vehicle Age",
"Mileage" and categorical variable "Purchased" against
dependent variable MPG.
What is the predicted (rounded up) MPG when Vehicle Age = 2
Mileage=D3000 and the car is new?
%3D
(Convert "Purchased" to dummy variable)
Select one:
O a. 28
O b. 31
Ос. 30
O d. 34
A
D
Auto Survey
14
15
Gender Type
Male
5 Female
6 Male
7 Female
8 Female
9 Female
10 Male
11 Male
12 Male
13 Female
14 Male
15 Male
16 Female
17 Female
18 Female
19 Female
Purchased Vehicle Age Mileage MPG
Used
16
Mid-size
Mid-size
Small
15
127233
28.7
43.4
17
New
1
23970
77392
185397
26001
180643
72083
New
7
24
18
Large SUV Used
Small
Minivan
Small
Small
Small
Small
Minivan
Small SUV Used
Small
Mid-size
14
15.2
19
New
37
20
New
6.
20
Used
45.7
21
22
New
11
165353
42
Used
205288
142897
182584
13
33
New
Used
23
7
31
14
12
24
13
140479
22114
20
25
New
2
28
New
0.25
7
3454
28.3
21
26
27
28
29
Large SUV New
130905
Small
Used
10
105628
35
20 Female
Small
New
5
48678
30.4
21 Male
Mid-size
New
0.5
6849
40.2
30
22 Female
Small
Used
10
137941
30
31
23 Female
Small SUV New
29823
24.9
24 Male
Small SUV Used
32
33
14
85763
21
25 Female
Small
Used
12
134172
31
34
26 Male
Mid-size
Used
12
86387
27
27
35
28
36
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