I'm doing a study using the RStudio app on air quality in New York City. Looking at Temp (numerical) CO2 (numerical) O3 (numerical) Day of the week(categorical) Weather (categorical) sunny cloudy, rainy etc Traffic In this scenario what would be best as the independent variable? I was considering CO2 levels or the busiest days like Blackout Friday, Christmas, Fourth of July, etc And what can be the dependent variable?
I'm doing a study using the RStudio app on air quality in New York City. Looking at Temp (numerical) CO2 (numerical) O3 (numerical) Day of the week(categorical) Weather (categorical) sunny cloudy, rainy etc Traffic In this scenario what would be best as the independent variable? I was considering CO2 levels or the busiest days like Blackout Friday, Christmas, Fourth of July, etc And what can be the dependent variable?
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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I'm doing a study using the RStudio app on air quality in New York City. Looking at
- Temp (numerical)
- CO2 (numerical)
- O3 (numerical)
- Day of the week(categorical)
- Weather (categorical) sunny cloudy, rainy etc
- Traffic
In this scenario what would be best as the independent variable? I was considering CO2 levels or the busiest days like Blackout Friday, Christmas, Fourth of July, etc And what can be the dependent variable?
Expert Solution
Step 1: Explain the question and what its requirements are
For the given study on air quality, the variables are:
- Temp (numerical)
- CO2 (numerical)
- O3 (numerical)
- Day of the week(categorical)
- Weather (categorical) sunny cloudy, rainy etc
- Traffic
The problem statement asks:
What would be the best independent variables?
What would be the best dependent variables?
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