Compare this question(In 1-3 sentences, define each of the following terms in your own words and provide an example: Linear regression
(2 marks) ) to my answer ( b.) Linear regression is a mathematical method used to find the optimal position for a line of best fit among a scatter plot of data points, enabling predictions about one variable based on its relationship with another. For example, using linear regression to find the optimal line of best fit when predicting house prices (dependent) based on square footage (independent).)and make any necessary changes

Your answer is mostly correct and provides a good explanation. However, it can be slightly improved for clarity and conciseness. Here's a refined version:

**Linear regression** is a statistical method that models the relationship between two variables by fitting a straight line (line of best fit) through a set of data points. This method is used to predict the value of one variable based on the other. For example, predicting house prices (dependent variable) based on square footage (independent variable).

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Would you like more details or clarifications?  
Here are five questions to expand your understanding:

1. What are the key assumptions behind linear regression?
2. How is the "line of best fit" determined in linear regression?
3. What is the role of the independent and dependent variables in linear regression?
4. How would you interpret the slope and intercept in a linear regression equation?
5. What are some limitations of using linear regression for making predictions?

**Tip:** Always ensure that your example is clearly tied to the concept you're explaining for better clarity.

In 1-3 sentences, define each of the following terms in your own words and provide an example: Linear regression (2 marks).

Explore the basics of linear regression, a fundamental concept in statistics and predictive modeling. Learn how the relationship between independent and dependent variables can be modeled using the linear regression equation y = mx + b. This example covers predicting house prices based on square footage and is suitable for students in Grades 10-12.

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