12:13 ✓ OF W VPN LTE Vo 4G 14 expert.chegg.com + 7 Subject Project 1:Linear Regression LEARNING OBJECTIVES: Start building statistical report writing skills which will include the following sections: intro, methods, results, discussion, and conclusion. Generate simple linear regression output complete with a fitted line plot, residual plot, and prediction chart using statistical software. State the who, what, when, where, why, and how of the study. Report the results of a linear regression analysis scatterplot, r-squared, slope, residual plot, predictions clearly and thoroughly. Discuss whether the conditions for regression have been met or not. Discuss whether the linear regression is appropriate for the given data or not.PROJECT DESCRIPTION:For this project you will be looking to predict a roller coasters top speed (mph) based on the roller coasters maximum height (ft) for steel roller coasters only. The data set for this project came from an online source and it is unknown when this dataset was compiled. This data set contains 157 roller coasters from all over the United States and comes with many variables such as name, city, state, type, design, year opened, top speed, max height, drop, length, duration, and inversions. In addition to creating the linear regression, you must predict the top speed given a max height of 200 ft, 300 ft, and 400 ft, and the linear regression must include a residual plot. Statisti Sub-sub Sea ||| = U о
12:13 ✓ OF W VPN LTE Vo 4G 14 expert.chegg.com + 7 Subject Project 1:Linear Regression LEARNING OBJECTIVES: Start building statistical report writing skills which will include the following sections: intro, methods, results, discussion, and conclusion. Generate simple linear regression output complete with a fitted line plot, residual plot, and prediction chart using statistical software. State the who, what, when, where, why, and how of the study. Report the results of a linear regression analysis scatterplot, r-squared, slope, residual plot, predictions clearly and thoroughly. Discuss whether the conditions for regression have been met or not. Discuss whether the linear regression is appropriate for the given data or not.PROJECT DESCRIPTION:For this project you will be looking to predict a roller coasters top speed (mph) based on the roller coasters maximum height (ft) for steel roller coasters only. The data set for this project came from an online source and it is unknown when this dataset was compiled. This data set contains 157 roller coasters from all over the United States and comes with many variables such as name, city, state, type, design, year opened, top speed, max height, drop, length, duration, and inversions. In addition to creating the linear regression, you must predict the top speed given a max height of 200 ft, 300 ft, and 400 ft, and the linear regression must include a residual plot. Statisti Sub-sub Sea ||| = U о
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:12:13
✓ OF W
VPN LTE
Vo 4G
14
expert.chegg.com +
7
Subject
Project 1:Linear Regression LEARNING OBJECTIVES:
Start building statistical report writing skills which will
include the following sections: intro, methods, results,
discussion, and conclusion. Generate simple linear
regression output complete with a fitted line plot,
residual plot, and prediction chart using statistical
software. State the who, what, when, where, why, and
how of the study. Report the results of a linear
regression analysis scatterplot, r-squared, slope,
residual plot, predictions clearly and thoroughly. Discuss
whether the conditions for regression have been met or
not. Discuss whether the linear regression is appropriate
for the given data or not.PROJECT DESCRIPTION:For
this project you will be looking to predict a roller
coasters top speed (mph) based on the roller coasters
maximum height (ft) for steel roller coasters only. The
data set for this project came from an online source and
it is unknown when this dataset was compiled. This data
set contains 157 roller coasters from all over the United
States and comes with many variables such as name,
city, state, type, design, year opened, top speed, max
height, drop, length, duration, and inversions. In
addition to creating the linear regression, you must
predict the top speed given a max height of 200 ft, 300
ft, and 400 ft, and the linear regression must include a
residual plot.
Statisti
Sub-sub
Sea
|||
=
U
о
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