Linear regression
6 practice questionsData ScienceStep-by-step solutions
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1
In simple linear regression y = β₀ + β₁x, what does β₁ represent?
A.The change in y per unit change in x
B.The value of y when x is 0
C.The correlation coefficient
D.The residual
2
The statistic that measures how well a regression model explains the variance in the data is:
A.R² (coefficient of determination)
B.The mean
C.The mode
D.The p-value of the intercept
3
In simple linear regression y = mx + b, the coefficient m represents:
A.The y-intercept
B.The slope (change in y per unit x)
C.The error term
D.The correlation only
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