Quadratic regression ($E(Y\mid x)={\beta }_0+{\beta }_{1}x+{\beta }_2{x}^2$)

A polynomial regression of degree two is linear in its unknown regression coefficients despite being curved in the predictor. Its design matrix has columns $1,x,x^2$; three distinct predictor values give full column matrix rank.