A multiple regression was performed of y = life expectancy at birth on x₁ = mean years of schooling of adults over the age of 25, x2 = GDP per capita (gross domestic product inconstant 2005 international $), and x3 = carbon dioxide emissions per capita (tonnes) for 31 countries. The data was obtained from the human development websitehttp://hdr.undp.org/en/. Based on the following ANOVA table, calculate R² aadj.Select one:a. 76.3%O b. 54.3%O c. 73.7%O d. Cannot be determined from the information givenSourceDFSS MS IF PRegression 3 530.63 176.88 28.97 0.000Residual Error 27 164.85 6.11Total30 695.48

Given information:k=3 independent variablesn= 31 observation SSR= 530.63SSE=164.85SST= 695.48

Answered: multiple regression was performed of y…

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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Listed below are the overhead widths (cm) of seals measured from photographs and weights (kg) of the seals. Find the regression equation, letting the overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is1.8cm, using the regression equation. Can the prediction be correct? If not, what is wrong? Use a significance level of 0.05. Overhead_Width_(cm) Weight_(kg)7.2 1287.4 1679.8 2619.5 2218.7 2118.3 201 The regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to the nearest integer as needed. Round the slope to one decimal place as needed.) Part 2 The best predicted weight for an overhead width of 1.8 cm, based on the regression equation, is enter your response here kg. (Round to one decimal place as needed.) Part 3 Can the prediction be correct? If not, what is wrong? A. The prediction cannot be correct…

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