Answer:
z = 4/3 or 1 1/3
Step-by-step explanation:
z−4/9−1/3=5/9
Change 1/3 to have a denominator of 9
1/3 *3/3 = 3/9
z−4/9−3/9=5/9
Combine like terms
z -7/9 = 5/9
Add 7/9 to each side
z-7/9+7/9 = 5/9+7/9
z = 12/9
z=4/3
or as a mixed number
z = 1 1/3
Answer:
12
Step-by-step explanation:
v3=36
v=36/3
v=12
Answer:
the answer would be -3/4
Step-by-step explanation:
(-4,3)(0,0)
y2-y1/x2-x1
0-3/0+4
-3/4
Answer:
<em>In statistics, linear regression is a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.</em>
Answer: The polynomial 3x2 is of one variable with a degree of 2.
The polynomial x2y + 3xy2 + 1 is of two variables a with a degree of 3.
Step-by-step explanation: For this case we have the following polynomials:
3x2
x2y + 3xy2 + 1
We have then:
For 3x2:
Classification: polynomial of one variable:
Degree: 2
For x2y + 3xy2 + 1:
Classification: polynomial of two variables
Degree: 2 + 1 = 3