1. distribute the 3 into the variable and number in the equation
to do this..
2. multiply 3 by x (obtain the answer of 3x)
3. multiply 3 by -2 (obtain the answer of -6)
4. you now have the equation of ‘14 = 3x-6+5’
5. subtract 6 from 5 (obtain the answer of -1)
6. you now have the equation of ‘14 = 3x-1’
7. add one to both sides (cancel out the negative one and make the opposite side of the equation 15 instead of 14)
8. you now have the equation of ‘15 = 3x’
9. divide both sides by 3 (15 and x)
FINAL ANSWER
x = 5
hope this helps:)
Answer and Step-by-step explanation:
Polynomial models are an excellent implementation for determining which input element reaction and their direction. These are also the most common models used for the scanning of designed experiments. It defines as:
Z = a0 + a1x1 + a2x2 + a11x12 + a22x22+ a12x1x2 + Є
It is a quadratic (second-order) polynomial model for two variables.
The single x terms are the main effect. The squared terms are quadratic effects. These are used to model curvature in the response surface. The product terms are used to model the interaction between explanatory variables where Є is an unobserved random error.
A polynomial term, quadratic or cubic, turns the linear regression model into a curve. Because x is squared or cubed, but the beta coefficient is a linear model.
In general, we can model the expected value of y as nth order polynomial, the general polynomial model is:
Y = B0 + B1x1 + B2x2 + B3x3 + … +
These models are all linear since the function is linear in terms of the new perimeter. Therefore least-squares analysis, polynomial regression can be addressed entirely using multiple regression
Answer: Oh heaven nah
Step-by-step explanation: Lord have mercy
