Consider the following estimated regression equation, based on 10 observations. y^ = 29.1270 + .5906x1 + .4980x2 the values of sst and ssr are 6724.125 and 6216.375, respectively. find sse (to 2 decimals). compute r2 (to 3 decimals). compute ra2 (to 3 decimals). how good is the fit provided by the estimated regression equation?

1. sometimes

2. never true

3. sometimes

step-by-step explanation:

these are pretty self explanatory if you know what supp right and com angles are

the correct option is:

b. a value of the variable that makes the polynomial equal to zero.

the root or roots of a polynomial are the values of the variable that makes the polynomial equal to 0. we can find the roots of a polynomial making the expression equal to 0 and then, isolating the variable (it it has just one variable).

for example, given the following polynomial:

the root or zero of the polynomial, can be found by making the expression equal to 0, and then, isolating the variable, so, finding the root we have:

therefore, we have that the root of the polynomial is equal to 2.

we must remember that the number of roots that a polynomial can have, will depend on the degree of the polynomial, a first degree polynomial have will have one single root, a second degree polynomial (quadratic expression) may have two roots and so.

hence the correct option is:

b. a value of the variable that makes the polynomial equal to zero.

have a nice day!

answer: i dont know but if you try hard you will get it right : )

step-by-step explanation: