Answers:
Center = (-2.5, 0.5)
Radius = 2.1213 units approximately
Note: The center written in fraction form is (-5/2, 1/2)
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Work Shown:
x^2 + y^2 + 5x - y + 2 = 0
x^2 + 5x + y^2 - y + 2 = 0
x^2 + 5x + y^2 - y = -2
x^2 + 5x + 6.25 + y^2 - y = -2 + 6.25 <<--- see note1 below
(x^2 + 5x + 6.25) + y^2 - y = 4.25
(x + 2.5)^2 + y^2 - y = 4.25
(x + 2.5)^2 + y^2 - y + 0.25 = 4.25 + 0.25 <<--- see note2 below
(x + 2.5)^2 + (y^2 - y + 0.25) = 4.5
(x + 2.5)^2 + (y - 0.5)^2 = 4.5
The equation is in the form (x-h)^2 + (y-k)^2 = r^2
where,
h = -2.5 = -5/2
k = 0.5 = 1/2
r = sqrt(4.5) = 2.1213 approximately
So that's why the center is (-5/2, 1/2) = (-2.5, 0.5) and the radius is approximately 2.1213 units
note1: I took half of 5 to get 5/2 = 2.5 then I squared it to get (2.5)^2 = 6.25; The value 6.25 is added to both sides. This is done to complete the square for the x terms
note2: Similar to note1, but done for the y terms now. I took half of -1 to get -1/2 = -0.5 and then squared it to get (-0.5)^2 = 0.25, which is added to both sides
Answer:
7488 inches
Step-by-step explanation:
I think that this is the correct answer. The reason is that you have to multiply 72 x 104. I´m not 100% sure.
Answer:
First option is the right choice. i.e.
Step-by-step explanation:
Boxplots: In its simplest form, the boxplot presents five sample statistics - the minimum, the lower quartile, the median, the upper quartile and the maximum - in a visual display. The box of the plot is a rectangle which encloses the middle half of the sample, with an end at each quartile. The length of the box is thus the interquartile range of the sample. The other dimension of the box does not represent anything in particular. A line is drawn across the box at the sample median. Whiskers sprout from the two ends of the box until they reach the sample maximum and minimum. The crossbar at the far end of each whisker is optional and its length signifies nothing. The diagram below shows a dotplot of a sample of 20 observations (actual sample values used in the display) together with a boxplot of the same data.
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Step-by-step explanation:
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Step-by-step explanation: