Regression of $x^2$ on $x$ with and without an intercept

Consider a paired data $(x_i,y_i)$; $i=1,2,3,4,5$, where $(x_1,x_2,x_3,x_4,x_5)=(-2,-1,0,1,2)$ and $y_i=x_i^2$ for all $i=1,2,3,4,5$. On this data, a simple linear regression model with an intercept term and a simple linear regression model without an intercept term are fitted using the method of least squares. Which of the following statements are true?