Flight Data City Distance Time (1000s of miles) (hours) 1 1.151 2.87 2 2.822 5.97 3 3.319 7.27 4 1.728 4.24 567 2.403 4.96 1.804 4.14 0.284 1.16 - The accompanying table gives the distance from a particular city to seven other cities (in thousands of miles) and gives the time for one randomly chosen, commercial airplane to make that flight. Do a complete regression analysis that includes a scatterplot with the line, interprets the slope and intercept, and predicts how much time a nonstop flight from this city would take to another city that is located 3000 miles away. Click the icon to view the distances and flight times. Draw a scatterplot for the round-trip flight data. Be sure that distance is the x-variable and time is the y-variable, because time is being predicted from distance. Graph the best-fit line using technology. Choose the correct scatterplot below. Ⓒ A. O B. ос. ○ D. CNNU 3.5 Distance (1000s of mi) 3.5 Distance (1000s of mi) Does it seem that the trend is linear, or is there a noticeable curve? The linear model appropriate because there is a trend in the data. 0 3.5 0 3.5 Distance (1000s of mi) Distance (1000s of mi)
Flight Data City Distance Time (1000s of miles) (hours) 1 1.151 2.87 2 2.822 5.97 3 3.319 7.27 4 1.728 4.24 567 2.403 4.96 1.804 4.14 0.284 1.16 - The accompanying table gives the distance from a particular city to seven other cities (in thousands of miles) and gives the time for one randomly chosen, commercial airplane to make that flight. Do a complete regression analysis that includes a scatterplot with the line, interprets the slope and intercept, and predicts how much time a nonstop flight from this city would take to another city that is located 3000 miles away. Click the icon to view the distances and flight times. Draw a scatterplot for the round-trip flight data. Be sure that distance is the x-variable and time is the y-variable, because time is being predicted from distance. Graph the best-fit line using technology. Choose the correct scatterplot below. Ⓒ A. O B. ос. ○ D. CNNU 3.5 Distance (1000s of mi) 3.5 Distance (1000s of mi) Does it seem that the trend is linear, or is there a noticeable curve? The linear model appropriate because there is a trend in the data. 0 3.5 0 3.5 Distance (1000s of mi) Distance (1000s of mi)
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
Transcribed Image Text:Flight Data
City
Distance
Time
(1000s of miles)
(hours)
1
1.151
2.87
2
2.822
5.97
3
3.319
7.27
4
1.728
4.24
567
2.403
4.96
1.804
4.14
0.284
1.16
-
Transcribed Image Text:The accompanying table gives the distance from a particular city to seven other cities (in thousands of miles) and gives the time for one randomly chosen, commercial airplane to
make that flight. Do a complete regression analysis that includes a scatterplot with the line, interprets the slope and intercept, and predicts how much time a nonstop flight from this
city would take to another city that is located 3000 miles away.
Click the icon to view the distances and flight times.
Draw a scatterplot for the round-trip flight data. Be sure that distance is the x-variable and time is the y-variable, because time is being predicted from distance. Graph the best-fit
line using technology. Choose the correct scatterplot below.
Ⓒ A.
O B.
ос.
○ D.
CNNU
3.5
Distance (1000s of mi)
3.5
Distance (1000s of mi)
Does it seem that the trend is linear, or is there a noticeable curve?
The linear model
appropriate because there is a
trend in the data.
0
3.5
0
3.5
Distance (1000s of mi)
Distance (1000s of mi)
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