100 Q G 2500 800- regression feature of a calculator to find the best-fitting cubic function for the data. Give the first x³+x²+x+0 function with the data. Choose the correct graph below. OB. 100 2500+ Q
100 Q G 2500 800- regression feature of a calculator to find the best-fitting cubic function for the data. Give the first x³+x²+x+0 function with the data. Choose the correct graph below. OB. 100 2500+ Q
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
| X(in mph) | 20 | 30 | 40 | 50 | 60 | 65 | 70 |
| Y(in feet) | 815 | 1090 | 1485 | 1840 | 2140 | 2315 | 2490 |
complete questions
Transcribed Image Text:a) Make a scatter diagram of the data. Choose the correct graph below.
O A.
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1
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OB.
Q
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b) Use the regression feature of a calculator to find the best-fitting linear function for the data. Give the coefficient before x to the nearest hundredth, and the constant to the nearest tenth.
y = 33.88x=117.7 (Type your answer in slope-intercept form.)
Graph the function with the data. Choose the correct graph below.
B.
2500-
800-
0
B.
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100
HIC
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O C.
o
100
Ау
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OC.
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800-
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c) Use the regression feature of a calculator to find the best-fitting cubic function for the data. Give the first and the second coefficients to four decimal places, the third coefficient to the nearest hundredth, and the constant term to the neares
y=(x³ + (x² + (x+0
Graph the function with the data. Choose the correct graph below.
100
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E
O
D.
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800+
OD.
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Transcribed Image Text:d) Estimate the sight distance for a car traveling 67 mph using the functions from parts (b) and (c).
According to the linear model, the sight distance for a car traveling 67 mph is feet. (Round to the nearest foot.)
According to the cubic model, the sight distance for a car traveling 67 mph is feet. (Round to the nearest foot.)
e) By comparing the graphs of the functions in parts (b) and (c) with the data, decide which function best fits the given data.
O cubic function
O
linear function
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