A JMP regression model is made for a data set, where the (xy) data points are (11, 7), (13, 10), (17, 15), and (20, 19). For an x value of 17, the JMP regression model predicts y= 1o. Calculate the residual at x = 17. Type your answer. 12 th Which of the following statements describes R? (coefficient of determination)? the percent or proportion of the variance in y that can be explained by the correlation coefficient the percent or proportion of the variance in x that can be explained by the correlation coefficient the percent or proportion of the variance in y that can be explained by the regression model of y on x the percent or proportion of the variance in y that can be explained by ANOVA 13 An R value of .3 Indicates weak explanatory power. True False

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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A JMP regression model is made for a data set, where the (xy) data points are (11,7), (13, 10), (17, 15), and (20, 19).
For an x value of 17, the JMP regression model predicts y= 1o.
Calculate the residual at x = 17.
Type your answer.
12 th
Which of the following statements describes R? (coefficient of determination)?
the percent or proportion of the variance in y that can be explained by the correlation coefficient
the percent or proportion of the variance in x that can be explained by the correlation coefficient
the percent or proportion of the variance in y that can be explained by the regression model of y on x
the percent or proportion of the variance in y that can be explained by ANOVA
13
An R2 value of 0.3 Indicates weak explanatory power.
True
False
Transcribed Image Text:A JMP regression model is made for a data set, where the (xy) data points are (11,7), (13, 10), (17, 15), and (20, 19). For an x value of 17, the JMP regression model predicts y= 1o. Calculate the residual at x = 17. Type your answer. 12 th Which of the following statements describes R? (coefficient of determination)? the percent or proportion of the variance in y that can be explained by the correlation coefficient the percent or proportion of the variance in x that can be explained by the correlation coefficient the percent or proportion of the variance in y that can be explained by the regression model of y on x the percent or proportion of the variance in y that can be explained by ANOVA 13 An R2 value of 0.3 Indicates weak explanatory power. True False
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