a car is purchased for 26,000 after each year the resale decrease by 35% what will the resale value be

Answers

Answer 1
Answer: 26,500 * .25 = 6625
26,500 - 6625 = $19875 ---------> Price after 1 year

Price after 2 years:
19875 * .25 = 4968.75
19875 - 4968.75 = $14,906.3 ---------> Price after 2 years

Price after 3 years:
14,906.3 * .25 = 3726.58
14,906.3 - 3725.58 = $11,179.7 ----------> Price after 3 years

Price after 4 years:
11,179.7 * .25 = 2794.93
11,179.7 - 2794.93 = $8384.77 ------> Price after 4 years, rounded to the nearest dollar = $8385

Answer 2
Answer: 26,000 * 35% = 910. So $910 would be subtracted from 26,000 for each year

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Here are the results of a regression of Car Deaths in the UK by month from Jan 1969 to Dec 1984 on a dummy variable: 0 = no seatbelt law, and 1 = seat belt law (the law was instituted in February 1983)Coefficients:Estimate Std. Error t value Pr(> | t |) (Intercept) 125.870 1.849 68.082 < 2e-16 *Seatbelts -25.609 5.342 -4.794 3.29e-06 * R-squared = 0.11a. Did the seat belt law make a difference? b. Is there a need to add more variables to the model? c. How would you justify your answer with numbers? d. What possible independent / predictor variables could you add to this model?

Help me please thank you

Answers

Answer:

36 miles

Step-by-step explanation:

If she can drive 12 miles only using 1/3 of a gallon of gas, that means if she uses a full gallon  (3/3) she would be driving 36 miles.

12/1  x  1/3

36/1  x  3/3

Multiply the numerators by 3.

10) Solve the inequality to find how many hours until the temperature willbe below 32 degrees F
A)3 hours
B)3.5 hours
C)4 hours
D)4.5 hours
PLS ANSWER

Answers

Answer:

D)4.5 hours

hope this helps

plz mark brainleist

A small regional carrier accepted 19 reservations for a particular flight with 17 seats. 14 reservations went to regular customers who will arrive for the flight. Each of the remaining passengers will arrive for the flight with a 52% chance, independently of each other. (Report answers accurate to 4 decimal places.)1. Find the probability that overbooking occurs.
2. Find the probability that the flight has empty seats.

Answers

Answer:

(a) The probability of overbooking is 0.2135.

(b) The probability that the flight has empty seats is 0.4625.

Step-by-step explanation:

Let the random variable X represent the number of passengers showing up for the flight.

It is provided that a small regional carrier accepted 19 reservations for a particular flight with 17 seats.

Of the 17 seats, 14 reservations went to regular customers who will arrive for the flight.

Number of reservations = 19

Regular customers = 14

Seats available = 17 - 14 = 3

Remaining reservations, n = 19 - 14 = 5

P (A remaining passenger will arrive), p = 0.52

The random variable X thus follows a Binomial distribution with parameters n = 5 and p = 0.52.

(1)

Compute the probability of overbooking  as follows:

P (Overbooking occurs) = P(More than 3 shows up for the flight)

                                        =P(X>3)\n\n={5\choose 4}(0.52)^(4)(1-0.52)^(5-4)+{5\choose 5}(0.52)^(5)(1-0.52)^(5-5)\n\n=0.175478784+0.0380204032\n\n=0.2134991872\n\n\approx 0.2135

Thus, the probability of overbooking is 0.2135.

(2)

Compute the probability that the flight has empty seats as follows:

P (The flight has empty seats) = P (Less than 3 shows up for the flight)

=P(X<3)\n\n1-P(X\geq 3)\n\n=1-[{5\choose 3}(0.52)^(3)(1-0.52)^(5-3)+{5\choose 4}(0.52)^(4)(1-0.52)^(5-4)+{5\choose 5}(0.52)^(5)(1-0.52)^(5-5)]\n\n=1-[0.323960832+0.175478784+0.0380204032]\n\n=0.4625399808\n\n\approx 0.4625

Thus, the probability that the flight has empty seats is 0.4625.

A. 90

B. 70

C. 55

D. 35

Answers

Answer:

A. 90

Step-by-step explanation:

Since the 2 lines on the left are parallel, they both will line up. Also the other answers don't make sense

Three Rivers publishes a catalog each year, last year it had 198 pages back and front. Weprint 150 copies. How much does it cost the college if a ream, 500 pages, cost

$7.40 each?

Answers

Answer:

$222

Step-by-step explanation:

We need to find how many ream was used in the printing forts, to determine how much the College spent.

The catalog is 198 pages, back and front, which means, 1 leaf will take 2 pages. Therefore, 99 pages were used in printing 1 copy of the catalog.

No of pages that were used in printing 150 copies = 150*99 = 14,850 pages.

If 500 pages = 1 realm, therefore,

14,850 pages = 14,850/500 = 29.7.

Since, it's a full team that is sold, let's approximate the number of reams bought to be 30 reams.

If 1 ream costs $7.40, therefore,

30 reams = 30*7.40 = $222

Final answer:

To calculate the cost of printing the catalogs, you need to calculate the total number of pages printed, convert that into the number of reams needed, and then multiply by the cost per ream. The total cost comes out to $444.

Explanation:

This problem involves simple multiplication and division to calculate the cost. The catalog has 198 pages and they print 150 copies, so the total number of pages is 198*150=29,700 pages. Every ream has 500 pages so you need 29,700/500=59.4 reams. But, you can't have a part of a ream, so you should round up to 60 reams. Then you multiply the number of reams by the cost per ream: 60 reams*$7.40/ream=$444. Therefore, the cost to the college is $444.

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Automobile fuel efficiency is often measured in miles that the car can be driven per gallon of fuel (mpg). Heavier cars tend to have lower fuel efficiencies (lower mpg ratings). Which variable (weight or fuel efficiency) is most naturally considered the explanatory (predictor) variable in this context? A. Weight B. Fuel efficiency

Answers

Answer:

Correct option: A. Weight.

Step-by-step explanation:

In regression analysis there are two kinds of variables: Explanatory and Response variable.

The explanatory variable are used to predict the changes in the response variable. They are also known as independent or predictor variable.

The response variable are observed for any changes caused by the explanatory variable. They are also known as the dependent or experimental variable.

In this case it is provided that heavier cars have lower fuel efficiencies.

It implies that there is linear inverse relationship between the variables weight of the car and fuel efficiency.

The response variable is the fuel efficiency and the explanatory variable is the weight of the car. Since the weight of the car is used to determine the fuel efficiency.

Thus, the explanatory variable is the weight of the car.

Final answer:

The explanatory variable in this context is the weight of the car, as it is used to predict or explain the car's fuel efficiency.

Explanation:

In this context, the most naturally considered explanatory or predictor variable would be the weight of the car. This term is used to denote the variable that is used to predict or explain changes or variations in another variable. In this case, the weight of the car is used to predict or explain the fuel efficiency (measured in miles per gallon). For instance, if the weight of a car increases, we would expect the fuel efficiency to decrease (lower mpg) because heavier cars often require more energy to move, which in turn results in higher fuel consumption.

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