Practice Applications of Linear Regression - 1.6 | 9. Linear Regression | ICSE 12 Mathematics
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Applications of Linear Regression

1.6 - Applications of Linear Regression

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is linear regression used for?

💡 Hint: Think of an example involving students and study hours.

Question 2 Easy

Identify the dependent variable in the equation y = mx + b.

💡 Hint: It's the variable being predicted.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the dependent variable in regression analysis?

The variable used for prediction
The variable being predicted
None of the above

💡 Hint: This is the ‘output’ in the equation.

Question 2

True or False: Linear regression can only be applied to perfectly correlated data.

True
False

💡 Hint: Think about the correlation coefficient.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

A marketing team uses linear regression to forecast future sales based on the number of advertisements. If their model suggests that 100 ads result in sales of 1,000 units, what might be a projection for 200 ads? Show your workings.

💡 Hint: Think about the slope of the regression line in terms of ads to sales.

Challenge 2 Hard

In a study, the data shows that as study hours increase, scores tend to rise, but the relationship isn't perfectly linear. Discuss how you would assess this data using linear regression or another method.

💡 Hint: Consider the shape of the data distribution when analyzing the relationship.

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