Complete the following analysis using EXCEL and the LINEST function as described in class. More information on this function and regression analysis in general can be found here. The following data represents the measured velocity of a constantly accelerating car as a function of time. time (s) 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 velocity (m/s) 1.5 3.7 4.2 6.7 8.3 9.0 10.6 13.0 13.5 Assume that time is measured with much more accuracy then velocity so that time is the logical choice for the independent variable. Make a scatter plot of the data in Excel and fit the data with a line-of-best-fit. Display the equation on the plot and do not force the y-intercept to be zero. Add axis labels (with units) to your plot, copy it to a Word document, write a descriptive caption, save it as a PDF following the directions found here, and submit it using the show-my-work function below. This portion of the lab is worth 3 points. Using the LINEST function, calculate the slope, y-intercept, and standard error of the slope. Enter this data below. slope = 1.516667 y-intercept = 0.25 ✔ m/s2 ✔ m/s standard error of the slope = 0.063683 m/s2
Complete the following analysis using EXCEL and the LINEST function as described in class. More information on this function and regression analysis in general can be found here. The following data represents the measured velocity of a constantly accelerating car as a function of time. time (s) 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 velocity (m/s) 1.5 3.7 4.2 6.7 8.3 9.0 10.6 13.0 13.5 Assume that time is measured with much more accuracy then velocity so that time is the logical choice for the independent variable. Make a scatter plot of the data in Excel and fit the data with a line-of-best-fit. Display the equation on the plot and do not force the y-intercept to be zero. Add axis labels (with units) to your plot, copy it to a Word document, write a descriptive caption, save it as a PDF following the directions found here, and submit it using the show-my-work function below. This portion of the lab is worth 3 points. Using the LINEST function, calculate the slope, y-intercept, and standard error of the slope. Enter this data below. slope = 1.516667 y-intercept = 0.25 ✔ m/s2 ✔ m/s standard error of the slope = 0.063683 m/s2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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
Transcribed Image Text:Complete the following analysis using EXCEL and the LINEST function as described in class. More information on this function and regression analysis in general can be found here.
The following data represents the measured velocity of a constantly accelerating car as a function of time.
time (s)
1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0
velocity (m/s) 1.5 3.7 4.2 6.7 8.3 9.0 10.6 13.0 13.5
Assume that time is measured with much more accuracy then velocity so that time is the logical choice for the independent variable. Make a scatter plot of the data in Excel and fit the
data with a line-of-best-fit. Display the equation on the plot and do not force the y-intercept to be zero. Add axis labels (with units) to your plot, copy it to a Word document, write a
descriptive caption, save it as a PDF following the directions found here, and submit it using the show-my-work function below. This portion of the lab is worth 3 points.
Using the LINEST function, calculate the slope, y-intercept, and standard error of the slope. Enter this data below.
slope = 1.516667
y-intercept = 0.25
V m/s²
v m/s
standard error of the slope = 0.063683
v m/s?
Using the results of your linear-regression analysis, report an estimate of the car's acceleration and corresponding uncertainty in the spaces below.
acceleration =
m/s2
Submit Answer
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