The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.940x + 34. 128. Find the coefficient of determination andinterpret the result.785.8784.51032.7963.81211.5Money raised, xMoney spent, y456.6654.6733.8449.4691.4734.6764.4739.31018.6930.31172.9Find the coefficient of determination and interpret the result.2 = 0.989(Round to hree decimal places as needed.)

The coefficient of determination is the percentage of variation in y explained by the variable x.…

Answered: The money raised and spent (both in…

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 magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, decor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiled the accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city. Complete parts (a) through (e) below. Click the icon to view the table of summated ratings and cost per person. ..... a. Construct a scatter plot. Choose the correct graph below. A. Ов. С. D. ACost ($) 90- ACost ($) 90- ACost ($) 90- ACost ($) 90- 0- 0- 90 90 90 90 Rating Rating Rating Rating b. Assuming a linear relationship, use the least-squares method to compute the regression coefficients b, and b,. bo = and b, (Round to two decimal places as needed.) c. Interpret the meaning of the Y-intercept, bo, and the slope, b,. Choose the correct answer below. O A.…
Run a simple regression on E views and interpret the results
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-0.609 b=34.589 r2=0.859329 r=-0.927 Use this to predict the number of sit ups a person who watches 10.5 hours of TV can do, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.859 b-37.904 r²-0.589824 r=-0.768 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place)
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min Temperature (°F) 1179 1071 1048 866 941 1100 O 91.1 84.8 87.2 78 79.6 89.2 ... What is the regression equation? y = 38.58 + 0.0448 x %3D (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best predicted temperature when a bug is chirping at 3000 chirps per minute is |°F. (Round to one decimal place as needed.)
Can you please check my work
Imagine you are conducting a hedonics study using housing data to evaluate how much a hazardous waste accident effected housing values. Which of the following should not be included in your regression? How many bedrooms each house has. Proximity to the waste. The quality of the local school district. All of these variables should be included.
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.)
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 888 910 1071 844 1039 1241 Temperature (°F) 78.1 79.6 82.9 76.4 79.4 87.3 What is the regression equation? y=_______+_______x
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.
Write a multiple regression equation that can be used to analyze the data for a two-factorialdesign with two levels for factor A and three levels for factor B. Define all variables.

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