Run a regression analysis on the following bivariate set of data with y as the response variable. 39.4 103.6 18.6 33.8 22.7 85.5 58.7 17.4 61.8 30.9 87.3 35.8 72.4 18.6 31.2 31.7 24.2 23.7 71.7 -0.6 6. 10.3 13.5 Find the correlation coefficient and report it accurate to three decimal places. 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) % = Predict what value (on average) for the response variable will be obtained from a value of 27.2 as the explanatory variable. Use a significance level of a = correlation. 0.05 to assess the strength of the linear What is the predicted response value? (Report answer accurate to one decimal place.) y =

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Run a regression analysis on the following bivariate set of data with y as the response variable.
y
39.4 103.6
18.6
33.8
22.7
85.5
9.
58.7
17.4
61.8
30.9
87.3
35.8
72.4
18.6
31.2
31.7
24.2
23.7
71.7
-0.6
10.3
13.5
Find the correlation coefficient and report it accurate to three decimal places.
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.)
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 27.2 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 =
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étv
Transcribed Image Text:Run a regression analysis on the following bivariate set of data with y as the response variable. y 39.4 103.6 18.6 33.8 22.7 85.5 9. 58.7 17.4 61.8 30.9 87.3 35.8 72.4 18.6 31.2 31.7 24.2 23.7 71.7 -0.6 10.3 13.5 Find the correlation coefficient and report it accurate to three decimal places. 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.) 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 27.2 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 = Question Help: Message instructor Submit Question DEC 3 étv
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