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4 cards from this section. Quick, good the night before a test.
What does the intercept in a linear regression model represent?
Think about where the line crosses the y-axis.
In the equation y = β0 + β1x + ϵ, what does β1 represent?
Consider how y changes with changes in x.
What is the purpose of Simple Linear Regression?
Think about how this method is used in data science.
True or False: The slope tells you how much the dependent variable changes as the independent variable increases.
Consider what happens to one variable as you change another.
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.
Use the equation to find the value when plugging in the known values.
Discuss the implications if our linear regression model didn't meet the assumptions of linearity. What might be the impact on predictions?
Consider how outputs might deviate in non-linear trends.
5 more questions in this section. Enroll free to practise them all.
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