A startup team is interested in creating a productivity app. In estimating the cost ofcreating the app, they collected sample data and developed the following regressionequation:where 1 = number of developersb₂a. What is the value of b2 in the equation?2= number of hours spent creating the appIs cost of software and testing ($'000)y = total cost of creating app ($'000)b. Does it make sense to interpret by in this equation?OYesy = -8.825+20.4861 +0.56x2 + 1.02x3O No$c. Predict the cost of creating an app involving 3 developers, 650 hours and $18,000 insoftware and testing costs.Accessibility Investigate8

Given y = - 8.825 + 20.486x_{1} + 0.56x_{2} + 1.02x_{3}

Answered: Creating the app, they collected sample…

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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A consumer advocacy group recorded several variables on 140 models of cars. The resulting information was used to produce the following regression output that relates the city gas mileage (in mpg) and the engine displacement (in cubic inches). The regression equation ismpg_city= 30.5 - 0.0691 * displacement We have a car that has an engine with 121 cubic inches. Based on this output, what city gas mileage would you predict for this car? (Round answer to the nearest hundredth (2 decimal places.)
A regression was run to determine if there is a relationship between hours of TV watched per day, xx, and number of sit-ups, yy, a person can do in a minute.The results of the regression were: y=ax+b a=-1.105 b=27.483Use this to predict the number of sit-ups a person who watches 9.59.5 hours of TV can do in a minute. Round to the nearest whole number.
please pay attention. you guys have been getting all my stats questions wrong.
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−94.15x+39.69y=-94.15x+39.69and the r=−0.12r=-0.12.What percentage of the variation in y can be explained by the variation in the values of x?r² = % (Report exact answer, and do not enter the % sign)
A car dealer wants to estimate the price of a used car based on the age of the car and the mileage. Based on a sample of 20 cars, she determines the sample regression equation that predicts price taxes on the basis of the age (in years) of the number of miles is Price=21,510-1230Age-0.035 Miles (a) If the age of the car was fixed and the mileage was increased by 10,000, would the price increase or decrease and by how much? (b) Predict the selling price of a five-year-old car with 65,000 miles. (Round your answers to the nearest whole number.)
make a regression analysis about any healthcare issue
An automotive engineer computed a least-squares regression line for predicting the gas mileage (y) in miles per gallon of a certain vehicle from its speed (x) in miles per hour. The result is y = -0.14x+ 38.78. Predict the gas mileage when the vehicle is travelling at 55 miles per hour. Round your answer to one decimal place. Only write a number as your answer.
A sports blogger is looking to determine an equation that relates a professional football quarterback's salary with his passer rating, touchdowns thrown, the average number of wins per season, and the number of years the quarterback has been in the league. What is the correct format for a multiple regression equation? Select the correct answer below: yˆ=b0+b1x1+b2x2+b3x3 yˆ=b1x1+b2x2+b3x3 yˆ=b0+b1x1+b2x2+b3x3+b4x4 yˆ=b0+b1x1+b2x2
Interpret the regression coefficient of X3 in relation to the Y ( X3 unit is mile) Y = 58.286 + 13.7604 * X3
Analysis of the relationship between the fuel economy (combinedMPG) and displacement (in liters) for 1262 models of cars produces the regression model combinedMPH = 33.472 - 3.317Displacement. Explain what the slope means.
What does it mean for a regression line to be the "best-fit" line.
Isla Esme, Inc., sells tea products to various customers. In recent years, profits have been declining. The CFO of the business investigated the reasons for the profit decline and performed regression analysis for sales and costs. He determined that sales depend on product price, delivery speed, customer services, and marketing expenses. He also determined that total costs consist of variable costs of $25 per unit and fixed costs of $56,000. Marketing expenses have a coefficient of determination of 75% related sales.Question: Define the coefficient of determination and explain what it means in this scenario.

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