Run a regression analysis on the following bivariate set of data with y as the response variable. x y 61.1 78.9 58.6 84.5 70.2 58.1 62.3 65.4 64.2 68.9 58 84.1 63.7 70.2 64.6 71.9 68.3 71.5 61.7 77.5 59.3 77.4 64.6 71.2 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 61.9 as the explanatory variable. Use a significance level of α=0.05α=0.05 to assess the strength of the linear correlation. What is the predicted response value?  (Report answer accurate to one decimal place.)

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Author:Amos Gilat
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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.

x y
61.1 78.9
58.6 84.5
70.2 58.1
62.3 65.4
64.2 68.9
58 84.1
63.7 70.2
64.6 71.9
68.3 71.5
61.7 77.5
59.3 77.4
64.6 71.2

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 61.9 as the explanatory variable. Use a significance level of α=0.05α=0.05 to assess the strength of the linear correlation.

What is the predicted response value?  (Report answer accurate to one decimal place.)

 

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