Answer:
the equation of the least-squares line for the data is: 
Step-by-step explanation:
In a simple linear regression model, such as, 
, the coefficients bo and b1 are estimated through the method of least squares by the use of the equations:
For the data provided you have to:
, thus:
the equation of the least-squares line for the data is:
Answer:
60 in³
Step-by-step explanation:
Prism A is 2×3×5 which is 30in³
Prism B is 2 times the height, which means it is 4×3×5 which is 60
Density is the measurement of the amount of mass per unit of volume.
In this case we should calculate the density of prairie dog burrows on a square field. This is a surface charge density.It is defined as the total amount of units q per km^2.
to calculate<span> the </span>density of prairie dog burrows, we should divide the total number of prairie dog burrows in the field <span>by the size of the field. Thus,
</span><span>
</span>prairie dog <span>burrows in square kilometers= number of dog burrows/ size of the field
size of the field=0.9*0.9=900*900=180000m^2
1980/180000</span><span> m^2= 0.011 dog burrows in square meter
11 dogs in square kilometer</span>
Answer: 16
Step-by-step explanation:
For a perfect square each factor is identical.
Now, we have to find a number that adds to get 8.
The only option is (x+4)(x+4). When you distribute, you get x²+8x+16.
Now, we know that the missing number is 16.
Answer:
Step-by-step explanation:
bruh
