Practice Simple Linear Regression - 2 | Regression Analysis | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does the intercept in a linear regression model represent?

💡 Hint: Think about where the line crosses the y-axis.

Question 2

Easy

In the equation y = β0 + β1x + ϵ, what does β1 represent?

💡 Hint: Consider how y changes with changes in x.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the purpose of Simple Linear Regression?

  • To classify data
  • To predict continuous outcomes
  • To visualize data

💡 Hint: Think about how this method is used in data science.

Question 2

True or False: The slope tells you how much the dependent variable changes as the independent variable increases.

  • True
  • False

💡 Hint: Consider what happens to one variable as you change another.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are given data on the temperature (X) and ice cream sales (Y). Using a slope of 5, predict the sales when the temperature is 80 degrees Fahrenheit if the intercept is 10.

💡 Hint: Use the equation to find the value when plugging in the known values.

Question 2

Discuss the implications if our linear regression model didn't meet the assumptions of linearity. What might be the impact on predictions?

💡 Hint: Consider how outputs might deviate in non-linear trends.

Challenge and get performance evaluation