Let x represent the number of miles he drives
Base rate: 40 - (40 · 0.25) plus mileage: 0.15 · x
Total cost = 30 + 0.15x
Math is ok I’m not good at it but I think it is 3
Answer:
When x1 and x2 decrease 4 units, y decreases by 20 units
Step-by-step explanation:
The regression model is

We have to calculate y for a decrease of 4 units in x1 and x2. For this we have to calculate the variation of y in function of x1 and x2.
As it is a linear regression model, we have:

For a variation in 4 units of x1 and x2, we have

Answer:
a) .3607.
b) See explanation below.
Step-by-step explanation:
The probability that the flight of the airline arrives on time is .775. The problem tells us that the events are independent and asks us what is the probability that 4 flights arrive on time.
Since the probability is independent we can simply multiply the probabilities of each flight arriving on time.
Probability that all 4 flights arrive on time = (.775)(.775)(.775)(.775) = 0.3607.
b) How realistic it is to assume that the on-time arrivals are independent?
This assumption is not very realistic, considering that if one flight is not on time, it will obviously affect all the other flights since the planes are constantly connected to each other and if the flights are using one same plane, the fact that this plane is not on-time will affect the next flight.
Answer:
224 ounces
Step-by-step explanation:
it tells us that one pound is 16 ounces, so 14 pounds would be 14 times 16
14 * 16 is 224
14 pounds is basically 224 ounces