The intercept in linear regression represents:a.the strength of the relationship between x and yb.the expected x value when y is zeroc.the expected y value when x is zerod.a population parameter
Question
The intercept in linear regression represents:a.the strength of the relationship between x and yb.the expected x value when y is zeroc.the expected y value when x is zerod.a population parameter
Solution
The intercept in linear regression represents: c. the expected y value when x is zero.
Here's why:
In a linear regression equation (y = mx + c), 'c' is the y-intercept. This means it's the value of y when x is zero. So, if you set x to zero in the equation, you'll be left with y = c. This shows that the y-intercept is the expected value of y when x is zero.
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