Q2Q3 Q2.Consider the following data:X356.4y3457Calculate the following :(i)Karl Pearson correlation coefficient (r) and Regression equation ( § ).(ii)Coefficient of determination (R³)(iii) Estimated Standard error (Se)Q3.Consider the following data:Marks in Statistics300 400 450 100 200 600 200 550 200 250Marks in Economics220 150 240 150 100 50 250 110 120 | 210Calculate the Spearman's rank correlation.6

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Answered: Consider the following data: 6. 4 y 6.…

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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4. For a sample of 12 observations, a businessman wants to regress the price (in dollar) of the laptop (Y) on the processor's speed (X). The summary results of the observations are given below. Σx = 19.8 , Σy = 24798, Σxy = 431882 Σx^2 = 3388, Σγ^2 = 57365692 a) compute correlation coefficient (b) Find the fitted regression line of the price of laptop on processor speed.
The major of a very small town wants to compare the number of flu cases that she has in her town(a sample) to the number of flu cases nation wide (the population) to see differ. What is the most appropriate test statics to use to test the hypothesis in scenario 1? A) Dependent sample t test B) Z-score C) Independent Sample t test D) One sample z-test E) Correlation coefficient
A sample of n = 15 pairs of X and Y scores produces a Pearson correlation of r = 0.45, SSY = 90. a) If the regression equation was found for these scores, how much of the Y variability would be predicted by the regression equation (SSregression) and how much would not be predicted (SSresidual)? b) Does the regression equation predict a significant portion of the variability for the Y scores? (Equivalently, is the Pearson correlation significant?)
The authors of this study report a Pearson correlation coefficient estimate of r = 0.23 with a p-value of <0.01. Interpret.
The data is given as follow. xi 2 6 9 13 20 yi 7 18 9 26 23 The estimated regression equation for these data is = 7.6 + .9x.Compute SSE, SST, and SSR (to 1 decimal). SSE SST SSR What percentage of the total sum of squares can be accounted for by the estimated regression equation (to 1 decimal)? %What is the value of the sample correlation coefficient (to 3 decimals)?
A researcher intends to conduct a multiple regression on the following data set where YY is the dependent variable. X1X1 X2X2 YY 41.1 46.8 40.8 43.5 37 46.3 42.9 71.2 69.3 25.3 75 47.8 38.6 59.7 41.3 46.5 53.2 52.7 49.3 42.6 50.3 47.6 29 34.1 37.1 43.1 39.7 50.1 43.5 56.1 Calculate the following correlations and semipartial correlations with the dependent variable. Report all answers accurate to at least 3 decimal places.The correlation between x1 and y = The correlation between x2 and y =
Given that the means of x and y are 64 and 66 , their standard deviations are 2.8 and 3.2 respectively and the coefficient of correlation between them is 0.5. 1) write down the regression lines.
Here is a bivariate data set. x y -2.6 120.6 30.5 34.9 40.1 85.3 18.2 82.2 14.8 89.6 21.8 69.3 36.3 49.9 49.1 25.7 32.3 56.6 52.2 -8.4 Use technology to find the correlation coefficient and report it accurate to three decimal places.

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Consider the following data: 6. 4 y 6. 4 5 7 Calculate the following : (i) Karl Pearson correlation coefficient (r) and Regression equation ( ŷ ). Coefficient of determination (R³) (ii) (iii) Estimated Standard error (Sɛ) 2.