Concept review 3: building linear regression
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Question 1 of 5
1. Question
1. Fill in the blank below.
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Regression is a model that captures the between two or more variables.
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Question 2 of 5
2. Question
2. Match the variables in the equation “y = mx + b” to what they represent in the equation.
Sort elements
- The output variable, or the dependent variable
- The independent variable, or the variable you plug in to determine the output
- The y-intercept, or the value of y when x = 0
- The rate of change, or the slope
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y
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x
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b
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m
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Question 3 of 5
3. Question
3. What is the first thing you need to do when you begin working in R?
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Question 4 of 5
4. Question
4. Which function adds a linear regression line to your model?
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Question 5 of 5
5. Question
5. True or False. Once you have the results of your model you have conclusively determined the trend of the data and/or have an accurate representation of what is happening in the world.
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