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 ofAthe regression line is y = 0.952x+20.570. Find the standard error of estimates, and interpret the result.Money ralsed, xMoney spent, y460.5434.1651.5689.3Find the standard error of estimate s and interpret the result.(Round to three decimal places as needed.)738.8735.3780.3755.8781.2732.51025.31011.3950.6929.91205.211554

The question is about regression.Given :Regression equation :To find :se and it's interpretation.

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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The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x 1) and newspaper advertising (x 2). The estimated regression equation was ŷ = 87.2 + 1.39 x 1 + 0.54 x 2 Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 97 6 2.5 91 2 2 96 5 2.5 93 2.5 3.5 95 4 4.3 94 4.5 2.3 94 3.5 4.2 94 4 2.5 The computer solution provided SST = 23.5 and SSR = 22.437. Compute R 2 and R a 2 (to 3 decimals). R 2 R a 2
Refer to the data set: (1, 2.5), (2.5, 15), (0.5, 2), (-2, 0.5), (0, 1), (1.5, 5)Part a: Make a scatterplot and determine which type of model best fits the data.Part b: Find the regression equation, round decimals to one place.Part c: Use the equation from Part b to determine y when x = 6.
What is the linear regression of the data? y = x- 1,3,5,7,9, y- 3,7,13,17,23 (Use integers or decimals for any numbers in the expression. Round to the nearest tenth as needed)
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)
Set up the regression equation and calculate the predicted satisfaction with major for someone with a GPA of 3.80, a positive affect score of 5.58, a neuroticism score of 4.25, and 21 years old. round to 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.
Interpret an R^2 value of 0.62 for a linear regression model where X is the independent variable and Y is the dependent variable.
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.
The slope of a regression line=-6.879 How do you interpret the slope? Is it significant?
Interpret the regression coefficient of X3 in relation to the Y ( X3 unit is mile) Y = 58.286 + 13.7604 * X3
For a linear regression modelling how the vocabulary size of a sixth grader is affected by the amount of television watched per day, the residuals are defined as the differences between Pick the actual amounts of television watched in the dataşet the actual vocabulary sizes in the dataset the vocabulary sizes predicted by the regression line
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.

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