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cements ents us les gle Drive ce 365 Run a regression analysis on the following bivariate set of data with y as the response variable. X y 73.9 36.5 46.1 83.9 26 75.7 52.9 89.1 37.9 73.4 61.7 93.7 54.2 88.4 21.7 69.7 45.2 89.1 41 89.4 20.4 68.1 28.8 83.8 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = Based on the data, calculate the regression line (each value to three decimal places) y = X + Predict what value (on average) for the response variable will be obtained from a value of 55.7 as the explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation. What is the predicted response value? (Report answer accurate to one decimal place.) y = Submit Question

cements ents us les gle Drive ce 365 Run a regression analysis on the following bivariate set of data with y as the response variable. X y 73.9 36.5 46.1 83.9 26 75.7 52.9 89.1 37.9 73.4 61.7 93.7 54.2 88.4 21.7 69.7 45.2 89.1 41 89.4 20.4 68.1 28.8 83.8 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = Based on the data, calculate the regression line (each value to three decimal places) y = X + Predict what value (on average) for the response variable will be obtained from a value of 55.7 as the explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation. What is the predicted response value? (Report answer accurate to one decimal place.) y = Submit Question

MATLAB: An Introduction with Applications
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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cements ents us ules gle Drive ce 365 Run a regression analysis on the following bivariate set of data with y as the response variable. X y 73.9 36.5 46.1 83.9 26 75.7 52.9 89.1 37.9 73.4 61.7 93.7 54.2 88.4 21.7 69.7 45.2 89.1 41 89.4 20.4 68.1 28.8 83.8 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = Based on the data, calculate the regression line (each value to three decimal places) y = X + Predict what value (on average) for the response variable will be obtained from a value of 55.7 as the explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation. What is the predicted response value? (Report answer accurate to one decimal place.) y = Submit Question
Transcribed Image Text:cements ents us ules gle Drive ce 365 Run a regression analysis on the following bivariate set of data with y as the response variable. X y 73.9 36.5 46.1 83.9 26 75.7 52.9 89.1 37.9 73.4 61.7 93.7 54.2 88.4 21.7 69.7 45.2 89.1 41 89.4 20.4 68.1 28.8 83.8 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = Based on the data, calculate the regression line (each value to three decimal places) y = X + Predict what value (on average) for the response variable will be obtained from a value of 55.7 as the explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation. What is the predicted response value? (Report answer accurate to one decimal place.) y = Submit Question
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