Use the following linear regression equation regarding airline tickets to answer the question. (The dataset collected for Distance was from 500 miles to 5,687 miles) Note: that Distance is the number of miles between the departure and arrival cities, and Price is the cost in dollars of an airline ticket.

(a) Find the slope using the linear regression equation given to you above. Inter- pret the value that you got for the slope in the context of the problem. Predicted Price= 49 + 0.22 (Distance) (b) Find the y-intercept using the linear regression equation given to you. If ap- propriate interpret the value you got for the y-intercept in the context of the problem.

(c) If appropriate predict the Price of an airline ticket if the distance between the departure and arrival cities is 1,752 miles.

Speedy Delivery Company purchases a delivery van for $33,600. Speedy estimates that at the end of its four-year service life, the van will be worth $5,200. During the four-year period, the company expects to drive the van 177,500 miles.

Actual miles driven each year were 46,000 miles in year 1 and 51,000 miles in year 2.

Required:

Calculate annual depreciation for the first two years of the van using each of the following methods. (Do not round your intermediate calculations.)

  
1. Straight-line.

Year Annual Depreciation

1 ?

2 ?

2. Double-declining-balance.

Year Annual Depreciation

1 ?

2 ?

   
3. Activity-based.

Year Annual Depreciation

1 ?

2 ?

A tire company claims that the lifetimes of its tires average 49750 miles. The standard deviation of tire lifetimes is known to be 4750 miles. You sample 75 tires and will test the hypothesis that the mean tire lifetime is at least 49750 miles against the alternative that it is less. Assume, in fact, that the true mean lifetime is 49250 miles.

It is decided to reject H₀ if the sample mean is less than 49150. Find the level and power of this test. Round the answers to four decimal places.

At what level should the test be conducted so that the power is 0.75?

You are given the opportunity to sample more tires. How many tires should be sampled in total so that the power is 0.75 if the test is made at the 5% level? Round the answer to the next largest integer.

Part 1:
Prepare a depreciation schedule showing depr. exp., accumulated depreciation and ending book value, year-by-year.
3 schedules for the 3 methods: straight-line, units-of-production, double declining basis. Asset is a delivery Truck.

Est. Life … 4 Orig. Cost Basis 26,300.00 Est. Residual Value 1,500.00 Est. total mileage 100,000 miles driven, Yr 1 23,400 miles driven, Yr 2 20,100 miles driven, Yr 3 33,100
miles driven, Yr 4 23,400

Part 2:
Assuming the truck is sold at the end of yr. 3, give the gen. journal entry to record the sale (straight-line method)
assume it was sold for: 8,750.00

Speedy Delivery Company purchases a delivery van for $41,600. Speedy estimates that at the end of its four-year service life, the van will be worth $6,000. During the four-year period, the company expects to drive the van 222,500 miles.

Actual miles driven each year were 58,000 miles in year 1 and 64,000 miles in year 2.

Required:

Calculate annual depreciation for the first two years of the van using each of the following methods. (Do not round your intermediate calculations.)

  
1. Straight-line.

Year Annual Depreciation

1

2

2. Double-declining-balance.

Year Annual Depreciation

1

2

   
3. Activity-based.

Year Annual Depreciation

1

2

1.) Carrie Heffernan Company purchased a delivery van on January 1, 2016, for $50,000. The van was expected to remain in service 4 years (or 100,000 miles) and has a residual value of $5,000. The van traveled 30,000 miles the first year, 25,000 miles the second year, and 22,500 miles in the third and fourth years.

Required:

1. Prepare a schedule of depreciation expense per year for the first four years of the asset's life using the (a) straight-line method, (b) units-of-production method, and (c) double-declining-balance method.

2. Prepare a schedule of the book value of the van for each of the four years using the (a) straight-line method, (b) units-of-production method and (c) double-declining-balance method.

Ilya and Anya each can run at a speed of 8.80mph and walk at a speed of 3.70mph . They set off together on a route of length 5.00 miles. Anya walks half of the distance and runs the other half, while Ilya walks half of the time and runs the other half.

A. How long does it take Anya to cover the distance of 5.00 miles? Express your answer numerically, in minutes.

B. Find Anya's average speed. Express Anya's average speed numerically, in miles per hour.

C. How long does it take Ilya to cover the distance? Express the time taken by Ilya numerically, in minutes.

D. Now find Ilya's average speed. Express Ilya's average speed numerically, in miles per hour.

Need the following program in Python:

Create a program that calculates the estimated duration of a trip in hours and minutes. This should include an estimated date/time of departure and an estimated date/time of arrival.

Specifications

• For the date/time of departure and arrival, the program should use the YYYY-MM- DD format for dates and the HH:MM AM/PM format for times.
• Create a single data/time string variable based on the two input variables. Use this combined string variable to create a departure date-time object that will be used to determine the estimated arrival date and time.
• For the miles and miles per hour, the program should only accept integer entries like 200 and 65.
• Calculate the hours travelled based on the integer division of miles divided by mph. The minutes are based on the remainder of miles divided by mph. The remainder must then be converted to minutes based on the mph.
• Assume that the user will enter valid data.

Write the equation (formula) for a residual and then calculate its value “by hand” for the observation in the data set whose distance between the fire and nearest fire station (in miles) is 3.0; show your work. Based on this value, was the observation overestimated (below average) or underestimated (above average) by the regression? Explain. See page 191 in the course text.