Given are five observations for two variables, and . Xi 1 2 3 4 5 Yi 4 7 7 12 14 The estimated regression equation for these data is yhat = 1.3+2.5x. a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSE SST SSR b. Compute the coefficient of determination rsquare (to 3 decimals). Does this least squares line provide a good fit? - Select your answer -No, the least squares line does not produce much of a fitYes, the least squares line provides a very good fitItem 5 c. Compute the sample correlation coefficient (to 4 decimals).

Given are five observations for two variables, and . Xi 1 2 3 4 5 Yi 4 7 7 12 14 The estimated regression equation for these data is yhat = 1.3+2.5x. a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSE SST SSR b. Compute the coefficient of determination rsquare (to 3 decimals). Does this least squares line provide a good fit? - Select your answer -No, the least squares line does not produce much of a fitYes, the least squares line provides a very good fitItem 5 c. Compute the sample correlation coefficient (to 4 decimals).

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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