Given are five observations for two variables, x and y.Xi145Yi3771114The estimated regression equation for these data is ŷ = 0.6 + 2.6x.a. Compute SSE, SST, and SSR using the following equations (to 1 decimal).SSESST-SSRSSE12.4SSTSSRb. Compute the coefficient of determination r² (to 3 decimals).Does this least squares line provide a good fit?Yes, the least squares line provides a very good fitc. Compute the sample correlation coefficient (to 4 decimals).

Given data and calculation is shown below (x) (y) x2 y2 xy 1 3 1 9 3 2…

Given are five observations for two variables, x and y. Xị 1 2 4 Yi 3 7 7 11 14 The estimated regression equation for these data is ŷ = 0.6 + 2.6x. a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSE = SST = (Yi - SSR = SSE 12.4 SST SSR b. Compute the coefficient of determination r2 (to 3 decimals). Does this least squares line provide a good fit? Yes, the least squares line provides a very good fit c. Compute the sample correlation coefficient (to 4 decimals).

Given are five observations for two variables, x and y. Xị 1 2 4 Yi 3 7 7 11 14 The estimated regression equation for these data is ŷ = 0.6 + 2.6x. a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSE = SST = (Yi - SSR = SSE 12.4 SST SSR b. Compute the coefficient of determination r2 (to 3 decimals). Does this least squares line provide a good fit? Yes, the least squares line provides a very good fit c. Compute the sample correlation coefficient (to 4 decimals).

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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