he table shows the age of a painting (x) in years, and its estimated dollar value (y). x2 y 1,200 1,500 2,400 3,200 4,100 2,500 2,916 3,844 4,225 4,624 ху 60,000 81,000 148,800 208,000 278,800 Exy=776,600 50 54 62 65 68 Ex=299 Ey=12,400 Ex²=18,109 Which regression equation correctly models the data? O y = 41.47x + 0.09 O y = 41.47x + 1,279.93 O y = 153.32x-6,688.54 O y = 153.32x - 6,325.76 %3D
he table shows the age of a painting (x) in years, and its estimated dollar value (y). x2 y 1,200 1,500 2,400 3,200 4,100 2,500 2,916 3,844 4,225 4,624 ху 60,000 81,000 148,800 208,000 278,800 Exy=776,600 50 54 62 65 68 Ex=299 Ey=12,400 Ex²=18,109 Which regression equation correctly models the data? O y = 41.47x + 0.09 O y = 41.47x + 1,279.93 O y = 153.32x-6,688.54 O y = 153.32x - 6,325.76 %3D
Elementary Geometry For College Students, 7e
7th Edition
ISBN:9781337614085
Author:Alexander, Daniel C.; Koeberlein, Geralyn M.
Publisher:Alexander, Daniel C.; Koeberlein, Geralyn M.
ChapterP: Preliminary Concepts
SectionP.CT: Test
Problem 1CT
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The table shows the age of a painting (x) in years, and its estimated dollar value (y).
x2
1,200
1,500
2,400
3,200
4,100
2,500
2,916
3,844
4,225
4,624
Ex²=18,109
ху
60,000
81,000
148,800
208,000
278,800
50
54
62
65
68
Ex=299
Ey=12,400
Exy=776,600
Which regression equation correctly models the data?
O y = 41.47x + 0.09
O y= 41.47x + 1,279.93
y = 153.32x - 6,688.54
y = 153.32x - 6,325.76
Mark this and return
Next](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcd129c80-2a07-433c-a54d-4b6a3fc0b278%2F3105321b-fd32-4ef8-9dd2-655802ef331f%2F6gfutj7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A Classes
Zoom - Chrome We.
Edgenuity for Stude..
Jeeks -- Virtual Learning (WHS)
est
Active
21
22
23
The table shows the age of a painting (x) in years, and its estimated dollar value (y).
x2
1,200
1,500
2,400
3,200
4,100
2,500
2,916
3,844
4,225
4,624
Ex²=18,109
ху
60,000
81,000
148,800
208,000
278,800
50
54
62
65
68
Ex=299
Ey=12,400
Exy=776,600
Which regression equation correctly models the data?
O y = 41.47x + 0.09
O y= 41.47x + 1,279.93
y = 153.32x - 6,688.54
y = 153.32x - 6,325.76
Mark this and return
Next
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