Answer:
The dimensions of the aquarium that minimize the cost of the materials:
Step-by-step explanation:
Let x, y and z be the dimensions of aquarium .
Surface area of an aquarium = xy+2yz+2xz
Volume of aquarium V= ----A
We are given that slate costs five times as much (per unit area) as glass
So, Cost function : C=5xy+2yz+2xz
Now we will use langrage multiplier to find the dimensions of the aquarium that minimize the cost of the materials.
So,
----1
-----2
----3
Multiply 1 ,2 and 3 by x,y and z respectively.
----4
-----5
----6
Now equate 4 and 5
5xy+2xz=5xy+2yz
x=y
Substitute y=x in 5 and 6 and equate them
Substitute the values in A
Hence,
The dimensions of the aquarium that minimize the cost of the materials:
A. 38
B. 14
C. 64
O D. 40
Answer:
74 if thats not an answer 64
Step-by-step explanation:
8+4=12
12+62
74
Answer:
74
Step-by-step explanation:
(8+x)+62
(8+4)+62
12+62
74
Answer:
The graph of y=|x|-4 is the same as y=|x|.
Step-by-step explanation:
Answer:
For negative sign , the graph reflects over x -axis and for 1/2 there will be a vertical compression
Step-by-step explanation:
Parent function is f(x)= x
We need to find the effect of the graph when f(x) is replaced with -1/2f(x)
When negative sign is multiplied outside f(x) like -f(x), then there will be a reflection over x-axis
When negative sign is multiplied inside f(x) like f(-x) then there will be a reflection over y-axis
When a number is multiplied outside f(x) then there will be a vertical stretch or compression
Here 1/2 is multiplied outside f(x). is less than 1 so there will be a vertical compression
For negative sign , the graph reflects over x -axis and for 1/2 there will be a vertical compression
Answer:
5.47% of the total variation between the two variables can be explained by the regression line.
Step-by-step explanation:
Given :
R value = 0.234
The R value is the correlation Coefficient ; which gives the type and level of correlation between two variables.
However, to Obtian the percentage variation which can be explained by by the regression line, we have to obtain the Coefficient of determination, R².
R² value is Obtained by taking the squared of the correlation Coefficient
Hence,
R² = 0.234² = 0.054756
R² = 0.05476 * 100% = 5.4756%
Hence, R² = 5.48%
This is interpreted as ; 5.47% of the total variation between the two variables can be explained by the regression line.
The domain of the function is the union of all of the "if" parts of the function definition:
... (-∞, -1) ∪ [-1, 1] ∪ (1, ∞) = (-∞, ∞)