Draw a cartesian plane, create a graph with the equation x = y^2 - 2
then substitute numbers into the equation so that it is true, to find points on the graph, e.g. substitute y with 1, you get
x = 1^2 - 2
x = 1 - 2 = -1, so when y = 1, x = -1, this point is (-1, 1)
for the next substitute y with 2,
x = 2^2 - 2
x = 4 - 2 = 2, the point is (2, 2)
you might want to try negative values of y
y = -1, x = (-1)^2 - 2
x = -1 the point is (-1,-1)
then plot the points on the graph
Answer:
1)
A)
We must use the formula b x h/2 12 x 8/2 = 48
A=48
B)
We must use the formula 1/2a root c squared - a squared
Solving and substituing will get you 35.78
2)
A)
We must divide 81 by 2 to get 9. Since this is a square, all sides will be 9. Then, we must add 9 four times to get 36 cm as our perimeter
B) If we draw the square with a diagonal line, we can understand that the diagonal line (hypotenus) is s root 2.
3) The formula for this area of a triangle is h x b/2. We must substitute the numbers to get our answer:
h x b /2 = 10 x 20/2 = 200/2 = 100
AREA IS 100cm squared
Step-by-step explanation:
Answer:
1/2 ornament in an hour
Step-by-step explanation:
Given
Required
Determine the ornaments per hour
This question implies that we calculate the unit rate.
Substitute values for Time and number of ornaments
<em>This implies that Constance can decorate 1/2 ornaments in an hour</em>
If it is marked down 25% and 25% equals 25/100 then you simply take 39.59 x 25/100
39.59 x 25/100 = 9.90
and then you subtract that from the original price
39.59 - 9.90 = $29.69
after it is marked down, the price is $29.69
His/her lowered score was most likely due to statistical regression.
<h3>How to determine the reason?</h3>
The missing options in the question are:
A. compensation rivalry B. Demoralization C. Differential selection
D. Testing E. Statistical regression
From the question, we have:
- September = 99th percentile
- February = 90th percentile
A change (whether higher or lower) in the score is caused by statistical regression.
This is so because several variables could attribute to the change in the score.
The relationship between these variables is referred to as statistical regression
Read more about statistical regression at:
brainly.com/question/25987747
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