Answer:
5
Step-by-step explanation:
You have to add the boxes between j and k and that’s how u get your length
Answer:
The surface area of the right regular hexagonal pyramid is 50.78 cm².
Step-by-step explanation:
Given:
A right regular hexagonal pyramid with sides(s) 2 cm and slant height(h) 5 cm.
Now, to find the surface area(SA) of the right regular hexagonal pyramid.
So, we find the area of the base(b) first:
Area of the base = ![\sqrt[3]{3}\times s^{2}](https://tex.z-dn.net/?f=%5Csqrt%5B3%5D%7B3%7D%5Ctimes%20s%5E%7B2%7D)
= ![\sqrt[3]{3}\times 2^{2}](https://tex.z-dn.net/?f=%5Csqrt%5B3%5D%7B3%7D%5Ctimes%202%5E%7B2%7D)
On solving we get:
Area of the base(b) = 
Then, we find the perimeter(p) :
Perimeter = s × 6

Now, putting the formula for getting the surface area:
Surface area = perimeter × height/2 + Area of the base.




As, <em>the surface area is 50.784 and rounding to nearest hundredth becomes 50.78 because in hundredth place it is 8 and in thousandth place it is 4 so rounding to it become 50.78.</em>
Therefore, the surface area of the right regular hexagonal pyramid is 50.78 cm².
Answer:

Step-by-step explanation:
step 1
Find the radius of the circle
we know that
The circumference is equal to

we have

substitute

Solve for r

step 2
Find the area
The area of a circle is equal to

we have

substitute


Answer:
Any graph with the same slope but with different y intercepts is parallel to that. For example in y = mx + b form the equation will be
y = 4x - 15
So, some equations that will be parallel
y = 4x
y = 4x - 16
y = 4x +3
Hoped this helped ya :)
Answer:
c. 64% of the variation in the weight of luggage is explained by the number of passengers
Step-by-step explanation:
The explained variance is a measure given by the coefficient of determination, R².
The value Given above is the correlation Coefficient, R, which is 0.8
The Coefficient of determination, R² = 0.8² = 0.64, expressing as a percentage ; 0.64 * 100% = 64%
This means that 64% of the variation in the dependent variable is can be explained by the regression line. (independent variable)