Using the Concert Attendance data, answer the following: • Conduct a regression analysis to evaluate the claim that Temperature and Precipitation are good predictors of concert Attendance. (Yes, this means state the hypothesis, verify the assumptions, comment on the model fit, etc. The whole thing!) • Use your regression model to find the conditions that would result in the lowest attendance; where would I want the variable levels, and how many attendees should I expect in this case? • Use your regression model to find the conditions that would result in the highest attendance; where would I want the variable levels, and how many attendees should I expect in this case?
Using the Concert Attendance data, answer the following: • Conduct a regression analysis to evaluate the claim that Temperature and Precipitation are good predictors of concert Attendance. (Yes, this means state the hypothesis, verify the assumptions, comment on the model fit, etc. The whole thing!) • Use your regression model to find the conditions that would result in the lowest attendance; where would I want the variable levels, and how many attendees should I expect in this case? • Use your regression model to find the conditions that would result in the highest attendance; where would I want the variable levels, and how many attendees should I expect in this case?
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 need help with this question and its three parts. Here is the data for it below.
| Temperature | Precipitation | Attendance | |
| 50.0 | 0.00 | 2297 | |
| 52.0 | 0.00 | 3387 | |
| 57.0 | 0.00 | 3386 | |
| 55.9 | 0.00 | 3412 | |
| 64.9 | 0.00 | 3312 | |
| 69.1 | 0.00 | 2982 | |
| 66.0 | 0.00 | 2750 | |
| 72.0 | 0.22 | 1235 | |
| 72.0 | 0.26 | 898 | |
| 66.0 | 0.00 | 3922 | |
| 64.9 | 0.06 | 2721 | |
| 55.9 | 0.07 | 2411 | |
| 52.0 | 0.00 | 2839 | |
| 62.1 | 0.08 | 2021 | |
| 66.0 | 0.10 | 2169 | |
| 52.0 | 0.10 | 2751 | |
| 43.0 | 0.00 | 2869 | |
| 50.0 | 0.00 | 3264 | |
| 55.9 | 0.00 | 3265 | |
| 57.9 | 0.00 | 3169 | |
| 57.0 | 0.00 | 2538 | |
| 57.0 | 0.00 | 2744 | |
| 64.0 | 0.00 | 3189 | |
| 66.9 | 0.20 | 954 | |
| 57.9 | 0.00 | 3367 | |
| 53.1 | 0.00 | 2565 | |
| 55.9 | 0.00 | 2245 | |
| 61.0 | 0.30 | 183 | |
| 46.0 | 0.25 | 1428 | |
| 44.0 | 0.00 | 2727 |
Transcribed Image Text:Using the Concert Attendance data, answer the following:
• Conduct a regression analysis to evaluate the claim that Temperature and
Precipitation are good predictors of concert Attendance. (Yes, this means
state the hypothesis, verify the assumptions, comment on the model fit,
etc. The whole thing!)
• Use your regression model to find the conditions that would result in the
lowest attendance; where would I want the variable levels, and how many
attendees should I expect in this case?
• Use your regression model to find the conditions that would result in the
highest attendance; where would I want the variable levels, and how many
attendees should I expect in this case?
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