Compute the least-squares regression line for predicting the number of stays from the cost. Round your answers to fourdecimal places. Cost of health care: The following table presents the mean cost of a hospital stay, in $1000, and the number of hospital stays, inmillions, in the United States for each of 10 years.CostNumberCostNumber10.334.217.337.810.634.220.538.711.834.922.339.213.736.424.039.515.037.226.139.5Source: Agency for Healthcare Research and Quality (a) Compute the least-squares regression line for predicting the number of stays from the cost. Round your answers to fourdecimal places.Regression line equation: y =

The least - squares regression line is in the form of straight line equation form and this equation…

Answered: (a) Compute the least-squares…

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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The management at a company that sells and services exercise equipment would like to determine if there is a relationship between the number of minutes required to complete a routine service call and the number of machines serviced. A random sample of 12 records revealed the information available below concerning the number of machines serviced and the time (in minutes) to complete the routine service call. Complete parts a and b below. E Click the icon to view the data. .... a. Estimate the least squares regression equation. The regression equation is y=() x. (Round to two decimal places as needed.) b. If a gymnasium had nine machiìnes, how many minutes should the company expect a routine service call to require. A routine service call should require about minutes if there are nine machines. (Round to the nearest minute as needed.) - X Cost of Small Projects Data Number of Machines Service Time (minutes) 12 115 65 80 10 9 85 50 60 65 40 7 9. 3 11 95 4 45 5 11 35 105 Print Done
The estimated regression line: a. does not change the sum of squared residuals.b. maximizes the sum of squared residuals.c. minimizes the sum of squared residuals.d. sometimes maximizes and sometimes minimizes the sum of squared residuals.can you also explain the answer, please
Please help me understand question and how to solve. A researcher at a large company has collected data on the beginning salary and current salary of 48 randomly selected employees. The least-squares regression equation for predicting their current salary from their beginning salary is Y=-2500 + 2.1X. Where Y is the current salary and X is the beginning salary. Question: Jay started working for the company earning $ 30,000. He currently earns $60,000. What is the residual for Jay (assuming no extrapolation error)?
An engineer wants to determine how the weight of a gas-powered car, x, affects the gas mileage, y. Would it be reasonable to use the least-squares regression line to predict the miles per gallon of a hybrid gas and electric car? Why and why not?
A medical study on the systolic blood pressure readings (top number) on men over 40 years old results in the data below. The x-value is the number of years past 40 years old and the y-value is the systolic blood pressure reading. x y 8 63 11 77 14 86 17 90 20 140 Find the least squares regression line modeling this data. What is the slope of the regression line? Round your answer to three decimal places. Provide your answer below:
Based on data taken from airline fares and distances One of the flights was 350 miles and its residual was - flown, it is determined that the equation of the least- 105.00. What was the fare for this flight? squares regression line is ŷ = 102.50+ 0.65x, where y is the predicted fare and x is the distance, in miles. $102.50 $435.00 $225.00 $330.00
To predict blood alcohol content of a student who drank 5 beers will be about?
An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y=nothingx+(nothing) (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.) (b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Use the answer from part a to find this answer.) A. A weightless car will get nothing miles per gallon, on average. It is not appropriate to interpret the slope. B. For every pound added to the weight of the car, gas mileage in the city will decrease by nothing mile(s) per gallon, on…
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Biologist Theodore Garland, Jr. studied the relationship between running speeds and morphology of 49 species of cursorial mammals (mammals adapted to or specialized for running). One of the relationships he investigated was maximal sprint speed in kilometers per hour and the ratio of metatarsal-to-femur length. A least-squares regression on the data he collected produces the equation ŷ = 37.67 + 33.18x where x is metatarsal-to-femur ratio and y is predicted maximal sprint speed in kilometers per hour. The standard error of the intercept is 5.69 and the standard error of the slope is 7.94. Construct a 96% confidence interval for the slope of the population regression line. Give your answers precise to at least two decimal places. contact us help 6:42 PM povecy polcy terms of use careers A E O 4») 18 -క90.4 58 12/14/2020 a 17 |耳即 delets prt sc insert 112 19 18 + 16 backspace f5 fA
year- 2000,2005,2010,2014,2019 tuition-$1242,$1809,$2680,$3356,$5132 what is the equation for the least squares regression line? what will tuitions be for the year 2025? when will tuitions be $6500?
Is It Getting Harder to Win a Hot Dog Eating Contest?Every Fourth of July, Nathan’s Famous in New York City holds a hot dog eating contest. The table below shows the winning number of hot dogs and buns eaten every year from 2002 to 2015, and the data are also available in HotDogs. The figure below shows the scatterplot with the regression line. Year Hot Dogs 2015 62 2014 61 2013 69 2012 68 2011 62 2010 54 2009 68 2008 59 2007 66 2006 54 2005 49 2004 54 2003 45 2002 50 Winning number of hot dogs in the hot dog eating contest Winning number of hot dogs and buns Click here for the dataset associated with this question. (a) Is the trend in the data mostly positive or negative? Positive Negative (b) Using the figure provided, is the residual larger in 2007 or 2008?Choose the answer from the menu in accordance to item (b) of the question statement 20072008 Is the residual positive or…

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(a) Compute the least-squares regression line for predicting the number of stays from the cost. Round your answers to four decimal places. Regression line equation: y =|