In the quadratic regression model $\mathrm { y } = \beta _ { 0 } + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 1 } ^ { 2 } + \varepsilon \text {, }$ The ?₁ term represents the: A)Rate of curvature of the parabolA. B)Value of Y when X is zero. C)Shift parameter of the parabola. D)Y-intercept of the parabola.

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The Answer of In the quadratic regression model $\mathrm { y } = \beta _ { 0 } + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 1 } ^ { 2 } + \varepsilon \text {, }$ The ?₁ term represents the: A)Rate of curvature of the parabolA. B)Value of Y when X is zero. C)Shift parameter of the parabola. D)Y-intercept of the parabola.

In the Quadratic Regression Model y=β0+β1X1+β2X12+ε, \mathrm { y } = \beta _ { 0 } + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 1 } ^ { 2 } + \varepsilon \text {, }y=β0​+β1​X1​+β2​X12​+ε,

In the Quadratic Regression Model $\mathrm { y } = \beta _ { 0 } + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 1 } ^ { 2 } + \varepsilon \text {, }$