4.1: Why It Matters- Nonlinear Models
Why learn about nonlinear relationships and how they are modeled?
Before we begin Nonlinear Models , let’s see how the new ideas in this module relate to what we learned in the previous modules, Types of Statistical Studies and Producing Data , Summarizing Data Graphically and Numerically , and Examining Relationships: Quantitative Data .
Recall the Big Picture:
We begin a statistical investigation with a research question. The investigation proceeds with the following steps:
- Produce Data: Determine what to measure, then collect the data. ← Types of Statistical Studies and Producing Data
- Explore the Data: Analyze and summarize the data. ← Summarizing Data Graphically and Numerically, Examining Relationships: Quantitative Data, Nonlinear Models
- Draw a Conclusion: Use the data, probability and statistical inference to draw a conclusion about the population.
Types of Statistical Studies and Producing Data focused on methods for collecting reliable data. Summarizing Data Graphically and Numerically focused on summarizing and analyzing data for a quantitative variable. Examining Relationships: Quantitative Data focused on linear relationships between two quantitative variables. In Nonlinear Models , we focus on nonlinear relationships between two quantitative variables. In the Big Picture of Statistics, the material in this module is still part of exploratory data analysis.
Contributors and Attributions
- Concepts in Statistics. Provided by : Open Learning Initiative. Located at : http://oli.cmu.edu . License : CC BY: Attribution