Answer:
Three cubes
Step-by-step explanation:
Lets first write down what we know.
<em>The dimensions of the pyramid are a base of 6cm and a height of 10cm.</em>
<em>The cubes are 2cm by 2cm by 2cm.</em>
<em>We need to find the volume of both to solve.</em>
First, lets solve for the volume of the pyramid. The equation is <u>Volume=base*height/3</u>
Lets put in the values we know.
volume=6*10/3
Multiply.
volume=60/3
Divide.
volume=20cm
Now that we know the volume of the pyramid is 20cm, all we have to do is find the volume of the cubes, and then divide 20cm by their volume.
To find the volume of the cubes, we just need to multiply length, width, and height together.
2cm*2cm*2cm=8cm
Now divide 20cm by 8cm.
20/8=2.5 rounding up to 3.
<em>Devin will need to melt 3 cubes to fill the square pyramid.</em>
Hope this helps!
1. 73-(23)+24=74
2. (68)+35-35=68
3. 64/4(x)4=64
4. f
5. 5+5+5+5+5
The answer for this would be 5.78 - angular velocity , I think
Answer:
yeah no problem bro
Step-by-step explanation:
Answer:
C. A residual is the difference between the observed y-value of a data point and the predicted y-value on a regression line for the x-coordinate of the data point. A residual is positive when the point is above the line, negative when it is below the line, and zero when the observed y-value equals the predicted y-value.
Step-by-step explanation:
The residuals are obtained when there is some difference between the observed values and the fitted values of the data. Suppose we want to make a curve or hyperbola but the observed data does not actually give the curve required or there is some difference between the observed values and fitted values. The square of the sum of these differences is called residual.
The residual is positive when the point is above the line, negative when it is below the line, and zero when the observed y-value equals the predicted y-value.
Residual is obtained by subtracting the predicted value from observed value.This difference called the <u>residual</u> is
- positive when the observed value > predicted value
<em>For a positive value the point lies above the (fitted) line.</em>
- negative when the observed value < predicted value
<em>For a negative value the point lies below the (fitted) line.</em>
- zero when the observed value = predicted value
<em>For a zero value the point lies on the (fitted) line.</em>
Step-by-step explanation:
