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Section 12.2 #12ab Section 12.5 NT #2 For the following, use the data from the previous problem (#12, Section 12.2) a) Calculate the value of the sample correlation coefficient. Based on this value, how would you describe the nature of the relationship between the two variables? b) If the units of y were changed to g/L, would your answer to part a) change? c) For the regression model in #12a, what proportion of the observed variation in ammonium concentra- tion can be attributed to the approximate linear relationship between transpiration and ammonium concentration?

Section 12.2 #12ab Section 12.5 NT #2 For the following, use the data from the previous problem (#12, Section 12.2) a) Calculate the value of the sample correlation coefficient. Based on this value, how would you describe the nature of the relationship between the two variables? b) If the units of y were changed to g/L, would your answer to part a) change? c) For the regression model in #12a, what proportion of the observed variation in ammonium concentra- tion can be attributed to the approximate linear relationship between transpiration and ammonium concentration?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Section 12.2 #12ab Section 12.5 NT #2 For the following, use the data from the previous problem (#12, Section 12.2) a) Calculate the value of the sample correlation coefficient. Based on this value, how would you describe the nature of the relationship between the two variables? b) If the units of y were changed to g/L, would your answer to part a) change? c) For the regression model in #12a, what proportion of the observed variation in ammonium concentra- tion can be attributed to the approximate linear relationship between transpiration and ammonium concentration?
Transcribed Image Text:Section 12.2 #12ab Section 12.5 NT #2 For the following, use the data from the previous problem (#12, Section 12.2) a) Calculate the value of the sample correlation coefficient. Based on this value, how would you describe the nature of the relationship between the two variables? b) If the units of y were changed to g/L, would your answer to part a) change? c) For the regression model in #12a, what proportion of the observed variation in ammonium concentra- tion can be attributed to the approximate linear relationship between transpiration and ammonium concentration?
22:24 Thu Apr 15 54% T + : Seutin 12.2 #12 a:) b.) xo Indiperllint uriable o tranplation yo dipindent verñalle g amann nentetios no13 Zy:>52.8 Sxy 2-341.95931 Exi o 3027 Sxx> 1885.237069 Syye 77.270769 grosien Ane Sxy ? -341,959931 1585.237069 -0.2157 Sxx Exi E- (3) - C0.a15)/203. 7 13 Po * 4.0615 t 5.0391z9.1006 Gression ine = i 9.1006-0.2157x ý when am. concentr is a Sml h ŷ - 9.1006- 0. Ə157X Y 9-9.1006-0.21IS7(25) • 3.708) 3 5 b.) when 45ml ih? uhy doun't make slense aalcelate? BC cause it AS isit ün thin merange of trayplation vearicldle >
Transcribed Image Text:22:24 Thu Apr 15 54% T + : Seutin 12.2 #12 a:) b.) xo Indiperllint uriable o tranplation yo dipindent verñalle g amann nentetios no13 Zy:>52.8 Sxy 2-341.95931 Exi o 3027 Sxx> 1885.237069 Syye 77.270769 grosien Ane Sxy ? -341,959931 1585.237069 -0.2157 Sxx Exi E- (3) - C0.a15)/203. 7 13 Po * 4.0615 t 5.0391z9.1006 Gression ine = i 9.1006-0.2157x ý when am. concentr is a Sml h ŷ - 9.1006- 0. Ə157X Y 9-9.1006-0.21IS7(25) • 3.708) 3 5 b.) when 45ml ih? uhy doun't make slense aalcelate? BC cause it AS isit ün thin merange of trayplation vearicldle >
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