P=2*(l+w)
p=2l+2w
2w=p - 2l
w= (p-2l)/2
Answer:
D
Step-by-step explanation:
Take it step by step.
The area of a rectangle is width times length.
We know the length is 7 since it's given, and we can find the width by adding shared sides of the square and triangle.
So the width is 10 + 14 or 24
That means the area of the rectangle is 7 * 24
The area of the second rectangle is 12 * 14, since they are both given.
Finally, the area of the triangle is 1/2 of the base times height and we can find the height by looking at the shared side and using the definition of a rectangle.
So the area of the triangle is 1/2 of 10 * 12.
Answer:
<h3>A. The slope describes the amount of change in Y for a one-unit increase in X
.</h3><h3>B. The regression equation is the line that best fits a set of data as determined by having the least squared error.</h3>
Step-by-step explanation:
In statistics, linear regression is a analysis we do to describe the relationship between two variables. With this study, we pretend to know if there's a positive or negative correlation between those variables, if that correlation is strong or weak.
In a linear regression analysis, we modeled the data set using a regression equation, which is basically the line that best fits to the data set, this line is like the average where the majority of data falls. That means choice A is right.
When we use linear equations, we need to know its characteristics, and the most important one is the slope, which is the ratio between the dependent variable and the independent variable. Basically, the slope states the unit rate between Y and X, in other words, it states the amount of Y per unit of X. That means choice B is correct.
Therefore, the correct answers are A and B.
Answer:
The Exact answer is 287740837743404332336.
The Decimal Answer is 2.87740837 ⋅ 10
^20.
I'm guessing the function is
which, split into partial fractions, is equivalent to
Recall that for we have
With some rearranging, we find
valid for , or , and
valid for , or .
So we have
Taken together, the power series for can only converge for , or .