For this case we have that by definition, the point-slope equation of a line is given by:
![y-y_ {0} = m (x-x_ {0})](https://tex.z-dn.net/?f=y-y_%20%7B0%7D%20%3D%20m%20%28x-x_%20%7B0%7D%29)
We have the following points:
![(x_ {1}, y_ {1}) :( 2,6)\\(x_ {2}, y_ {2}) :( 4,0)\\m = \frac {y_ {2} -y_ {1}} {x_ {2} -x_ {1}} = \frac {0-6} {4-2} = \frac {-6} {2} = -3](https://tex.z-dn.net/?f=%28x_%20%7B1%7D%2C%20y_%20%7B1%7D%29%20%3A%28%202%2C6%29%5C%5C%28x_%20%7B2%7D%2C%20y_%20%7B2%7D%29%20%3A%28%204%2C0%29%5C%5Cm%20%3D%20%5Cfrac%20%7By_%20%7B2%7D%20-y_%20%7B1%7D%7D%20%7Bx_%20%7B2%7D%20-x_%20%7B1%7D%7D%20%3D%20%5Cfrac%20%7B0-6%7D%20%7B4-2%7D%20%3D%20%5Cfrac%20%7B-6%7D%20%7B2%7D%20%3D%20-3)
We chose a point:
![(x_ {0}, y_ {0}) :( 4,0)](https://tex.z-dn.net/?f=%28x_%20%7B0%7D%2C%20y_%20%7B0%7D%29%20%3A%28%204%2C0%29)
Substituting in the equation we have:
![y-0 = -3 (x-4)\\y = -3 (x-4)](https://tex.z-dn.net/?f=y-0%20%3D%20-3%20%28x-4%29%5C%5Cy%20%3D%20-3%20%28x-4%29)
Finally, the equation is: ![y = -3 (x-4)](https://tex.z-dn.net/?f=y%20%3D%20-3%20%28x-4%29)
Answer:
OPTION C
Answer:
D. The product of a constant factor 5 and a 2-term factor x+2
Step-by-step explanation:
Hope that helps
Step-by-step explanation:
last week there were
62 + 60 + 2 = 124 customers.
that means that the fraction of the customers, who paid by credit card, was
2/124 = 1/62
in situations like that, when we use history data and try to predict future behavior, we use that past experience and extrapolate to a predicted result.
we simply say that we expect the same fraction, 1/62, if customers to use credit cards.
for the absolute number of predicted credit card customers we multiply the predicted number of customers by the expected fraction
1000 × 1/62 = 500/31 = 16.12903226... ≈ 16
so, he expects 16 credit card customers.