Use the computer output to estimate the intercept β0 and the slope β1. The regression equation is Y=810-4.84X. Predictor Coef SE Coef T P Constant 810.004 88.04 9.20 0.000 X -4.841 1.587 -3.05 0.006 Intercept β0: Slope β1: Click if you would like to Show Work for t
Use the computer output to estimate the intercept β0 and the slope β1. The regression equation is Y=810-4.84X. Predictor Coef SE Coef T P Constant 810.004 88.04 9.20 0.000 X -4.841 1.587 -3.05 0.006 Intercept β0: Slope β1: Click if you would like to Show Work for t
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 25EQ
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Chapter 9, Section 1, Exercise 002
Use the computer output to estimate the intercept β0 and the slope β1.
The regression equation is Y=810-4.84X.
Predictor | Coef | SE Coef | T | P |
Constant | 810.004 | 88.04 | 9.20 | 0.000 |
X | -4.841 | 1.587 | -3.05 | 0.006 |
Intercept β0:
Slope β1:
Click if you would like to Show Work for t |
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