In the quadratic regression model y = $\beta$ ₀ + $\beta$ ₁X + $\beta$ ₂X²+ $\varepsilon$ The $\beta$ 1term represents the: A)Rate of curvature of the parabola B)Value of Y when X is zero C)Value of X when Y is zero D)Y-intercept of the parabola E)Shift parameter of the parabola

Question

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The $\beta_1$ term represents the linear coefficient, which affects the shift or tilt of the parabola along the X-axis.

In the Quadratic Regression Model Y = β\betaβ 0 β\betaβ 1X

In the Quadratic Regression Model Y = $\beta$ ₀ $\beta$ ₁X