15.20. On the basis of observations made on 30 cottonplants, the total correlation of yield of cotton (X,), number of balls i.e., seedvessels (X,), and height (X,) are found to ber12 = 0.8, r30.65 and r,= 0.7%3D%3D23Calculate the partial correlation between yield of cotton and the no. ofballs, eliminating the effect of height.

Answered: Image /qna-images/answer/3bcef0aa-61b5-40d8-afac-d36a17d2e203.jpg

Answered: 15.20. On the basis of observations…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The accompanying table shows the years of experience of 10 salesmen and their annualsales (in ’000 dollar) respectivelyi) Find the correlation coefficient between sales and experience from the above data.ii) Construct a scatter plot.iii) What does the plot suggest about the nature of the relationship between the two variables? Also comment on your result.
There is a relationship between the following variables as y = 1 / (a * x ^ b) (x ^ b: means x over b). a) Calculate the correlation coefficient and interpret the degree of the relationship? b) Estimate the y value for x = 4.3 and the x value for y = 0.90 by obtaining the regression equation. x 1.2 1.5 2.0 3.0 4.0 5.0 y 0.58 0.50 0.32 0.18 0.15 0.10 x 1.2 1.5 2.0 3.0 4.0 5.0 y 0.58 0.50 0.32 0.18 0.15 0.10
I have modeled adult worker's salaries based upon their work experience. After surveying 200 adults about their salary and years in the workforce, I have found the following model: y=12000+5000*x where y is the predicted salary and x is the years in the labor force. R^2 = 0.63. What is the correlation for this model? (correlation between salary and years in the labor force)? a. 0 b. 0.79 c. 0.63 d. 0.50 e. 1
For 9 observations on supply (X) and price (Y) the following data are obtained∑(X-90) = -25 , ∑(X-90)2 = 301, ∑(Y-127) = 12, ∑(Y-127)2 = 1006∑(X-90) ∑(Y-127) = -469. Compute correlation coefficient?
The amounts of 6 restaurant bills and the corresponding amounts of the tips are given in the below. Assume that bill amount is the explanatory variable and tip amount the response variable. Bill 32.98 49.72 52.44 64.30 97.34 88.01 Tip 4.50 5.28 7.00 7.70 16.00 10.00 (a) Find the correlation: r= (c) The regression equation is y^= . (d) If the amount of the bill is $90, the best prediction for the amount of the tip is $ .Note: Enter your answer as a number xx.xx (e) According to the regression equation, for every $5 increase in the bill, the tip should INCREASE or DECREASE) by $ .
For the data shown to the right, determine the linear.correlation coefficient using the formulas shown below. Compare your answers in part (a) and (b). 3 5 2| 1| 0 |-1-2 y a. Use the definition r= SySy Exy - (Ex)(E»)/n b. Use the computing formula r= a. Using the definition, r= (Round to three decimal places as needed.)
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On the basis of observations made on 39 cotton plants, the totai correlation of yıeid of cotton (X,), number of bolls, 1.e., seed vessels (.X,) and height (X,) are found to be: ,= 0.8, r,, = 0.65 and r, = 0.7 23

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