The additive inverse of the polynomial
is 
Further explanation:
Given:
The polynomial is 
Explanation:
The given polynomial is 
The additive inverse can be defined as when we add a number to some number and get result as zero.
The value of additive inverse is same as of the number but the sign of the additive inverse is opposite.
The additive inverse of the polynomial can be expressed as follows,

The additive inverse of the polynomial
is 
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Answer details:
Grade: High School
Subject: Mathematics
Chapter: Polynomial
Keywords: roots, prime polynomial, linear equation, quadratic equation, zeros, function, polynomial, solution, cubic function, degree of the function.
The number of periods over which interest is calculated on the loan.
We have to determine
The following formula is used to calculate the monthly payment on a personal loan.
<h3>What is the formula used to calculate monthly payments?</h3>
The formula used to calculate monthly payments are as follows;

Where,
1. PV is the present value or the amount of the loan.
2. i is the interest rate per period and is calculated by dividing the yearly percent rate by 100 and by the number of periods in a year.
3. n is the total number of periods and is calculated as the product of the number of periods in a year times the number of years.
Hence, the number of periods over which interest is calculated on the loan.
To know more about Monthly payments click the link given below.
brainly.com/question/14532486
Answer:
3/4=75%
Step-by-step explanation:
the prob is the shaded area divided by the full Rect area
the Rect area is 3*2, and the shaded area is 3*2-1*1.5=4.5
such that the probability is 4.5/6=3/4
Answer:
The correct answer is False.
Step-by-step explanation:
To help explain or predict the response variable in every regression study, we use one or more explanatory variables. These variables are also called response variables or dependent variables.
The risk factors and confounders involved are called predictor or independent variables.
These definitions are a part of regression analysis which is a technique to asses the relationship between one or more risk factors and a particular outcome variable.