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Table (2) presents data of vapor pressure versus temperature for benzene. Some design calculations require these data to be accurately correlated by various algebraic expressions which provide P in mmHg as a function of T in C. A simple polynomial is often used as an empirical modeling equation. This can be written in general form for this problem as P=a0+a1T+a2T2+a3T3++anTn where a0an are the parameters (coefficients) to be determined by regression and n is the degree of the polynomial. Typically the degree of the polynomial is selected which gives the best data represen- Regress the data with polynomials having the form of Equation (9). Determine the degree of polynomial which best represents the data. Table (2) presents data of vapor pressure versus temperature for benzene. Some design calculations require these data to be accurately correlated by various algebraic expressions which provide P in mmHg as a function of T in C. A simple polynomial is often used as an empirical modeling equation. This can be written in general form for this problem as P=a0+a1T+a2T2+a3T3++anTn where a0an are the parameters (coefficients) to be determined by regression and n is the degree of the polynomial. Typically the degree of the polynomial is selected which gives the best data represen- Regress the data with polynomials having the form of Equation (9). Determine the degree of polynomial which best represents the data