1. (10) According to the PayScale data from 2021, the average starting salaries bycollege major for bachelor's degree are as follows: $70,600 for mechanical engineering,$56,700 for economics, $43,500 for chemistry, and $47,000 for philosophy. In order toestimate the true difference in the average starting salaries by college major in 2022, 60graduates with these four majors from the class of 2022 were contacted and questionedabout their starting salaries. Propose a regression model with dummy variables that couldbe used to investigate if starting salaries are different by college major and interpret allthe coefficients in the model.0.000

The study aims to investigate if there is a difference in starting salaries by college majors in the…

Answered: 1. ) According to the PayScale data…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1.On October 30, 2020 the Center for Disease Control (CDC) reported that the daily COVID-19 data showed there were 1.2 new infections per second and that the daily death rate was one death every 107 seconds. Answer the following questions. Show all your calculations and write a sentence about your conclusion: A.Use the CDC data to calculate the total number of daily infections on October 30th. B. How many deaths were reported on October 30th?
John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)
please answer the question in the photo! thank you :) tables are in image 2
1. Fill in the blanks for each of the statements below. а. A survey of 1000 U.S. adults found that 40% think the internet is the best way to get news and information. Population: Sample: Variable of Interest: Type of Data (Qualitative or Quantitative): Is the 40% a parameter or statistic, and why? b. A survey of the 55 law firms in a local city found that the average hourly billing rate is $425. Population: Sample: Variable of Interest: Type of Data (Qualitative or Quantitative): Is the $425 a parameter or statistic, and why?.
Based on the illustration below, what is the relationship of Gross Domestic Product and energy consumption?
2. Assume the following: In 2005 there were 15,000 Central University (CU) students and 30% of them were freshmen, and in 2010 there were 17,000 CU students and 35% of them were freshmen. a. From 2005 to 2010, what is the (absolute) increase in the number of freshmen? b. From 2005 to 2010, what is the (absolute) increase in the percent of CU students who were freshmen? c. From 2005 to 2010, what is the percent (relative) increase in the percent of CU students who were freshmen? d. From 2005 to 2010, what is the percent (relative) increase in the number of freshmen?
Please send me the question in 20 minutes it's very urgent plz
An editorial in The New York Times on Sunday, June 4, 2011 discussed the redesigned fuel economy stickers to be required on new cars starting in 2013. Consider a new midsize Ford Fusion S model. At $4-a-gallon gas, annual fuel costs would be about $2,200 for 15,000 miles driven. ... And that’s for a car with a rated mileage of 34.9 m.p.g. (actual highway mileage, as with all vehicles, is lower, in this case about 27 m.p.g.). Industry clearly needs to do better. Did the Times use the rated or the actual mileage in its computation? In Canada, some multi-lane highways have a speed limit of 110 km/hour. Convert this speed to miles per hour, so you'll know how fast you may drive in Canada.
The following are the index numbers of wholesale prices of a commodity based on 2011: Year Index Numbers Year Index Numbers 2011 2012 2013 2014 100 108 2015 2016 2017 210 225 240 120 150 Prepare new Index Numbers taking 2013 as base.
3. SJS Company has been selling to retail customers in the Metro Manila area. It advertises extensively on radio, print ads, and the Internet. The owner would like to review the relationship between the amount spent on advertising expenses (in Php000s) and sales (in Php000s). Below is the information on advertising expenses and sales for the last nine (9) months of 2019. Month April May June July Aug Sept Oct Nov Dec Advertising Expense Sales 10 14 12 13 15 8 13 16 180 170 190 220 235 208 215 175 250 Revenue a. Find the coefficient of correlation. b. Create a scatter diagram based on the data.
To boost holiday sales, Ginsberg jewelry store is advertising the following promotion: “If more than five inches of snow fall in the first three days of the year (January 1 through January 3), all purchases made between Thanksgiving and Christmas are free!” Based on historical sales records as well as experience with past promotions, the store manager believes that the total holiday sales between Thanksgiving and Christmas could range anywhere between $200,000 and $400,000 but is unsure of anything more specific. Ginsberg has collected data on snowfall from December 16 to January 18 for the past several winters in the file Ginsberg. Construct a simulation model to assess potential refund amounts so that Ginsberg can evaluate the option of purchasing an insurance policy to cover potential losses. What is the probability that Ginsberg will have to refund sales? What is the average refund? Why is this a poor measure to use to assess risk? In the cases when snowfall exceeds 5…
The shortage of organs for transplant is a continuing problem. At the end of 2000, there were 3536 people waiting for a heart transplant, 3355 for a lung transplant, 16,012 for a liver transplant, and 46,824 for a kidney transplant. Corresponding figures for 2003 were 3292, 3543, 16,985, and 56,590, respectively. In 2006, the figures were 2625, 2691, 16,882, and 68,412, respectively. Express the information as a matrix, labeling rows and columns. Fill in the matrix below. Heart Liver 3536 46,824 3543 56,590 2006 2625 16,882

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