....... .................................. ....... .... ....... ....... The table lists the approximate values V of a mid-sized sedan for the years 2010 through 2016. The variable t represents the time (in years), with t = 10 corresponding to 2010. t 10 11 12 13 14 15 16 V $23,046 $20,596 $18,851 $17,001 $15,226 $14,101 $12,841 (a) Use the regression capabilities of a graphing utility to fit linear and quadratic models to the data. (Round your coefficients to two decimal places.) Linear model V = Quadratic model V = Plot the data and graph the models. V V 22 000 24 000 20 000 22 000 18 000 20 000 16 000 18 000 14 000 16 000 12 000 14 000 10 12 14 16 10 12 14 16 abc V P Type here to search 耳
....... .................................. ....... .... ....... ....... The table lists the approximate values V of a mid-sized sedan for the years 2010 through 2016. The variable t represents the time (in years), with t = 10 corresponding to 2010. t 10 11 12 13 14 15 16 V $23,046 $20,596 $18,851 $17,001 $15,226 $14,101 $12,841 (a) Use the regression capabilities of a graphing utility to fit linear and quadratic models to the data. (Round your coefficients to two decimal places.) Linear model V = Quadratic model V = Plot the data and graph the models. V V 22 000 24 000 20 000 22 000 18 000 20 000 16 000 18 000 14 000 16 000 12 000 14 000 10 12 14 16 10 12 14 16 abc V P Type here to search 耳
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
I'll do the graph portion myself
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爆 量 攝
The table lists the approximate values V of a mid-sized sedan for the years 2010 through 2016. The variable t represents the time (in years), with
t = 10 corresponding to 2010.
10
11
12
13
14
15
16
V
$23,046
$20,596
$18,851
$17,001
$15,226
$14,101
$12,841
(a) Use the regression capabilities of a graphing utility to fit linear and quadratic models to the data. (Round your coefficients to two decimal
places.)
Linear model
V =
Quadratic model
Plot the data and graph the models.
V
22 000
24000
20000
22000
18 000
20 000
16 000
18000
14 000
16 000
12 000
14 000
10
12
14
16
10
12
14
16
abc
V
Type here to search
0 耳C](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F98d0f792-4112-475a-838a-12405289ee77%2F5f9a08a4-9f34-4863-8751-c104c3942617%2F8xhhegg_processed.jpeg&w=3840&q=75)
Transcribed Image Text:重
爆 量 攝
The table lists the approximate values V of a mid-sized sedan for the years 2010 through 2016. The variable t represents the time (in years), with
t = 10 corresponding to 2010.
10
11
12
13
14
15
16
V
$23,046
$20,596
$18,851
$17,001
$15,226
$14,101
$12,841
(a) Use the regression capabilities of a graphing utility to fit linear and quadratic models to the data. (Round your coefficients to two decimal
places.)
Linear model
V =
Quadratic model
Plot the data and graph the models.
V
22 000
24000
20000
22000
18 000
20 000
16 000
18000
14 000
16 000
12 000
14 000
10
12
14
16
10
12
14
16
abc
V
Type here to search
0 耳C
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