Three different companies each purchased trucks on January 1, 2018, for $76,000. Each truck was expected to last four years or 250,000 miles. Salvage value was estimated to be $6,000. All three trucks were driven 81,000 miles in 2018, 55,000 miles in 2019, 46,000 miles in 2020, and 71,000 miles in 2021. Each of the three companies earned $65,000 of cash revenue during each of the four years. Company A uses straight-line depreciation, company B uses double-declining-balance depreciation, and company C uses units-of-production depreciation. Answer each of the following questions. Ignore the effects of income taxes. d-1. Calculate the retained earnings on the December 31, 2021, balance sheet?

Three different companies each purchased trucks on January 1, 2018, for $74,000. Each truck was expected to last four years or 250,000 miles. Salvage value was estimated to be $5,000. All three trucks were driven 80,000 miles in 2018, 60,000 miles in 2019, 45,000 miles in 2020, and 70,000 miles in 2021. Each of the three companies earned $63,000 of cash revenue during each of the four years. Company A uses straight-line depreciation, company B uses double-declining-balance depreciation, and company C uses units-of-production depreciation. Answer each of the following questions. Ignore the effects of income taxes. d-1. Calculate the retained earnings on the December 31, 2021, balance sheet?

Three different companies each purchased trucks on January 1, 2018, for $74,000. Each truck was expected to last four years or 250,000 miles. Salvage value was estimated to be $5,000. All three trucks were driven 80,000 miles in 2018, 60,000 miles in 2019, 45,000 miles in 2020, and 70,000 miles in 2021. Each of the three companies earned $63,000 of cash revenue during each of the four years. Company A uses straight-line depreciation, company B uses double-declining-balance depreciation, and company C uses units-of-production depreciation. Answer each of the following questions. Ignore the effects of income taxes. c-1. Calculate the book value on the December 31, 2020, balance sheet?

The maintenance manager at a trucking company wants to build a regression model to forecast the time (in years) until the first engine overhaul based on four explanatory variables: (1) annual miles driven (in 1,000s of miles), (2) average load weight (in tons), (3) average driving speed (in mph), and (4) oil change interval (in 1,000s of miles). Based on driver logs and onboard computers, data have been obtained for a sample of 25 trucks. A portion of the data is shown in the accompanying table.

Excel Data File:

a. For each explanatory variable, discuss whether it is likely to have a positive or negative causal effect on time until the first engine overhaul.

b. Estimate the regression model. (Negative values should be indicated by a minus sign. Round your answers to 4 decimal places.)

c. Based on part (a), are the signs of the regression coefficients logical?

The head of maintenance at XYZ Rent-A-Car believes that the mean number of miles between services is 2135 miles, with a variance of 145,924

.

If he is correct, what is the probability that the mean of a sample of 40 cars would differ from the population mean by less than 29 miles? Round your answer to four decimal places.

1)  Average tire life is 30,000 miles (μ = 30,000) and σ = 2,300 miles.  What is the

     probability that a tire will last 35,000 miles (or more)?

2)  If μ = 130 and σ = 20 on an employment test and the company only hires from the top

     75% of scores, what is the lowest score you can get and still get hired?

3)  The SAT has μ = 500 and σ = 100.  What score would put you in the top 15%?

4)  For a standard IQ test, μ = 100 and σ = 15.  

      a) What IQ would put you in the top 10%?

      b) If your IQ was 135, what percentage of the population is smarter than you?

Superhero physics: a) Choose a height between 1.00 miles and 3.00 miles. How fast would a superhero have to throw a ball straight upwards in order for it to rise this high? Give your answer in both m/s and mph. Assume air resistance is negligible, since at these speeds that's as believable as superheroes are. b) Choose a time between 1.00 minutes and 3.00 minutes. How fast would a superhero have to throw a ball straight upwards in order for it to spend this much time in the air (that is, for it to take that much time to return to their hand)? Give your answer in both m/s and mph. Same assumption. c) Without resorting to further calculations, which of these two balls will be in the air longer? Explain your reasoning, explicitly citing evidence. d) Choose one case, (a) or (b), and calculate the time required for the ball to rise halfway to its highest point, and the time to rise from there to the highest point. Check: see next question. e) Why does it take less time to rise halfway to the highest point than to rise the rest of the way?

Describe and explain 10 future sustainability plans of park hyatt hotel Maldives

Suppose a car radiator useful lifetime has Weibull distribution with β = 1.5 and the mean lifetime of 150,000 miles. John has just bought a used car with 180,000 miles and original radiator which is still good. What is the probability that it’s going to last at least 20,000 miles more before needing replacement?

(a) Give the definition of memoryless for a random variable X. (b) Show that if X is an exponential random variable with parameter λ , then X is memoryless. (c) The life of the brakes on a car is exponentially distributed with mean 50,000 miles. What is that probability that a car gets at least 70,000 miles from a set of brakes if it already has 50,000 miles?