Find the mean and standard deviation of the times and icicle lengths for the data on run 8903 in data data93.dat. Find the correlation between the two variables. Use these five numbers to find the equation of the regression line for predicting length from time. Use the same five numbers to find the equation of the regression line for predicting the time an icicle has been growing from its length. (Round your answers to three decimal places.) ATTACHED BELOW IS THE DATA SET

time    length
10      .9
20      2.7
30      4.9
40      6.5
50      6.8
60      7.5
70      8.9
80      11.2
90      13.5
100     15.4
110     15
120     19.7
130     20.4
140     23
150     24.8
160     27.1
170     28
180     30.1

Julie Long, the manager of the Hamburger Haven, has been told that to earn a reasonable profit, she should price her hamburgers at 300% of the cost of ingredients. Ms. Long has gathered the following data on the cost of ingredients used to make a hamburger:

(A) What is the cost of ingredients for a plain burger (meat and bun only)?

Q 3b18.

After determining an appropriate warm up period, run length, and run strategy, Nico Case conducts a set of experiments with her model.

a.) In the first set of experiments, she runs her model for 5 replications of one-year, following a 30 day warm up, under the strategy of batch means. Assume that a one-year period is sufficient for statistical purposes. The monthly throughput from her model is 6,000 units/month and the standard deviation is 50. Approximately how many replications are required if Ms. Case wants her experiments to be powered to detect a difference in monthly throughput of 15 units, 19 times out of 20?

b.) Assume that Ms. Case has run her model for 5 replications of 30 days, following a 30-day warm up period. The average monthly throughput from her model is N (6104, 70). The system vendor indicates that a similar system installed in Whitby, ON is known to have a monthly throughput of 6053 units. No standard deviation is provided by the vendor. What can you say about Nico's model, with relation to the vendor estimates?    

c.) As a final test of validity, Ms. Case adjusts her model to make it representative of her firm's current warehouse layout and logistics. She runs her model for 6 replications of one year and calculates the monthly throughput. She also obtains a sample of data from her firm's warehouse for the previous 6 months.

Is there any evidence that the simulation is representative of the existing warehouse?

NOTE: This question is for Industrial Engineering stream for Simulation & Modelling Analysis subject. There is no options given in drop down menu for IE and selected for ME stream. Please help in answering all a, b, and c section.

1. Gonsalo runs a business doing car repairs, writes up his taxes on the cash basis, and on the calendar year.

Gonsalo paid $ 27,000 to his landlord on 12-1-2018 for a required advance rent payment on an 18 month lease covering the months 12-1-2018 through 5-31-2020.

Gonsalo paid $ 12,000 on 7-1-2018 for a one year insurance policy covering the months of 7-1-2018 through 6-30-2019. A payment of $ 16,000 was made on 7-1-2019 for a one year policy covering the period of 7-1-2019 to 6-30-2020.

Gonsalo has a business use only credit card, used to purchase supplies.    A purchase was charged on 12-30-2018 for supplies of $ 4,000, buying in bulk to receive a quantity discount, and another $6,000 purchase of supplies was charged on 8-1-2019 to fill up the stocks for 2019, and for the early months of 2020. Gonsalo paid the interest on the credit card in the amount of $ 2,500 during 2019 and has paid the principal balance on the credit card down by $ 8,000 so far by the end of 2019.

Finally, on 11-30-2018, Gonsalo signed and gave a note payable to a supplier for $3,000, due to be paid with accrued interest on May 30, 2019 with 6% annual interest. The note has a below market interest rate, and is worth $ 2,950. Gonsalo made the required payment when due. All of the purchased supplies had been used by May 2019.

How much of these payments qualify as tax deductible expenses for Gonsalo during 2019?

For each of the following scenarios, identify the populations, the counts, and the sample sizes; compute the two proportions and find their difference.

a) A study of tipping behaviors examined the relationship between the color of the shirt worn by the server and whether or not the customer left a tip.¹⁹ There were 418 male customers in the study; 40 of the 69 who were served by a server wearing a red shirt left a tip. Of the 349 who were served by a server wearing a different colored shirt, 130 left a tip.

b) A sample of 40 runners will be used to compare two new routines for stretching. The runners will be randomly assigned to one of the routines which they will follow for two weeks. Satisfaction with the routines will be measured using a questionnaire at the end of the two-week period. For the first routine, nine runners said that they were satisfied or very satisfied. For the second routine, six runners said that they were satisfied or very satisfied.

c) For each scenario, find the large-sample 95% confidence interval for the difference in proportions and use the scenario to explain the meaning of the confidence interval.

d) For each scenario, perform the large-sample significance test and use the scenario to explain the meaning of the significance test.

need answer for c) and d).

(House Selling Price) The data below show the selling price, square footage, bedrooms, and age of houses that have sold in a neighborhood in the last six months. Selling price Square footage Bedrooms Age 64,000 1,670 2 30 59,000 1,339 2 25 61,500 1,712 3 30 79,000 1,840 3 40 87,500 2,300 3 18 92,500 2,234 3 30 95,000 2,311 3 19 113,000 2,377 3 7 115,000 2,736 4 10 138,000 2,500 3 1 142,500 2,500 4 3 144,000 2,479 3 3 145,000 2,400 3 1 147,500 3,124 4 0 144,000 2,500 3 2 155,500 4,062 4 10 165,000 2,854 3 3 Develop seven regression models as below using the corresponding Excel data. ( Model 1) Y = selling price, X 1 = square footage (House Selling Price Model 1 Data) ( Model 2) Y = selling price, X2 = bedrooms (House Selling Price Model 2 Data) ( Model 3) Y = selling price, X3 = age (House Selling Price Model 3 Data) ( Model 4) Y = selling price, X 1 = square footage, X2 = bedrooms (House Selling Price Model 4 Data) ( Model 5) Y = selling price, X 1 = square footage, X3 = age (House Selling Price Model 5 Data) ( Model 6) Y = selling price, X2 = bedrooms, X3 = age (House Selling Price Model 6 Data) ( Model 7) Y = selling price, X 1 = square footage, X2 = bedrooms, X3 = age (House Selling Price Model 7 Data) (House Selling Price) Models 4, 5, and 6 are multiple regression models with two independent variables. Model 7 is a multiple regression model with three independent variables. (a) The adjusted r2 value of model 4 is ___. [Answer format: one decimal place] (b) The adjusted r2 value of model 5 is ___. [Answer format: two decimal places] (c) The adjusted r2 value of model 6 is ___. [Answer format: one decimal place] (d) The adjusted r2 value of model 7 is ___. [Answer format: two decimal places] Write your answer(s) as 1.2, 3.45, 6.7, 8.91

Complete the following table:

Suppose that the government spending increase by $200 billion at every price level in the preceding problem.

1. What will be the equilibrium GDP?
2. Which macro problem exists now?

A new asset is available for $227,000. O&M costs are $34,000 each year for the first five years, $51,000 in year six, $79,100 in year seven, and $121,800 in year eight. Salvage values are estimated to be $204,000 after one year and will decrease at the rate of 50% per year thereafter. At a MARR of 18%, determine the economic service life of the asset. Enter your answer as an integer from 1 to 8

Elena runs the 100m dash in 10.4s. If she does this by spending the first 3s of the race accelerating and then maintaining her top speed (constant velocity) for the rest of the race: What acceleration did she experience? What was her top speed?

A) Judy runs a bank and believes interest rates will increase in the future. Explain what size interest rate gap the bank should have and why.

B) Explain how the Volcker Rule was designated to limit market risk banks face.