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4 cards from this section. Quick, good the night before a test.
What is linear regression used for?
Think of an example involving students and study hours.
Identify the dependent variable in the equation y = mx + b.
It's the variable being predicted.
What is the dependent variable in regression analysis?
This is the ‘output’ in the equation.
True or False: Linear regression can only be applied to perfectly correlated data.
Think about the correlation coefficient.
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.
Think about the slope of the regression line in terms of ads to sales.
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.
Consider the shape of the data distribution when analyzing the relationship.
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