Step-by-step Answer:
One of the properties of a least-squares regression line (line of best fit) is that the line always passes through the point (xbar, ybar).
Assuming the given "line of best fit" is a least-squares line, then we are given
a slope m=1.885 passing through (x0,y0)=(3.448,12.318).
Applying the standard point-slope formula:
(y-y0) = m (x-x0)
we get
y-12.318 = 1.885(x-3.448)
Expand and simplify,
y=1.885x -1.885*3.448 + 12.318, or
y=1.885(x) + 5.81852
(numbers to be rounded as precision dictates).
Answer:
1) 
2) Option C.
3) Option B.
Step-by-step explanation:
1. You must apply the Distributive property as following:
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2. Now, you must distribute the negative sign, then you have:
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3. Finally, you must add the like terms. Then you obtain the polynomial:

4. By definition, a polynomial that has two terms is classified as a binomial. Therefore, the answer is the option C.
5. The degree of a polynomial is determined by highest exponent of the variable. So, it is a polynomial of degree 2 (option B).
Answer:
Step-by-step explanation:
a
Width = x
length = 2x
96 = x + x + 2x + 2x
96 = 6x
x = 16
2x is simply 16 × 2.
Answer:
x= 1
Step-by-step explanation:
2x1=2+3=5