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Linear Regression
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Linear Regression
Y = b0 + b1 (x)
Assumption
- Linear Relationship between x and y
- Residuals are normally distributed
- Residuals have the same variability
- Observation are independent
Linear Regression Graph
- Y = b0 + b1 (x)
- Y = dependent variable
- b0 variable substitution
- b1 = summation of (x-x mean) (y-y mean) /summation of (x-x mean) squared
- Y = b0 + b1 (x)
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- Mind Map on Linear Regression, created by Sarah Lopez on 07/12/2022.
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- Sarah Lopez
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