Run a regression analysis on the following bivariate set of data with y as the response variable. y 40 47.7 50.5 28.1 34.1 34.2 29.7 64.1 6.7 65.4 28.9 40.1 30 32.9 19.3 51 24.8 39.1 22.2 40.9 13.5 53.3 22.9 42.6 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.) 12 = Based on the data, calculate the regression line (each value to three decimal places) y = Predict what value (on average) for the response variable will be obtained from a value of 7.3 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 =

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
40
47.7
50.5
28.1
34.1
34.2
29.7
64.1
6.7
65.4
28.9
40.1
30
32.9
19.3
51
24.8
39.1
22.2
40.9
13.5
53.3
22.9
42.6
Find the correlation coefficient and report it accurate to three decimal places.
r =
the values of x? Report
What proportion of the variation in y can be explained by the variation
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 =
Predict what value (on average) for the response variable will be obtained from a value of 7.3 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 =
Transcribed Image Text:Run a regression analysis on the following bivariate set of data with y as the response variable. y 40 47.7 50.5 28.1 34.1 34.2 29.7 64.1 6.7 65.4 28.9 40.1 30 32.9 19.3 51 24.8 39.1 22.2 40.9 13.5 53.3 22.9 42.6 Find the correlation coefficient and report it accurate to three decimal places. r = the values of x? Report What proportion of the variation in y can be explained by the variation 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 = Predict what value (on average) for the response variable will be obtained from a value of 7.3 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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