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QI. Write the following models using matrix notation, Y = XB +e: (a) Multiple regression, Y = Bo+B1X1+B2Xi2 + B3X13 +ei; i=1, 2, 3, .., 7. .... (b) Multiple polynomial regression, Y; = Bo + Bixi1 + B2X12 + B3x + B4x+ B3X¡1X¡2 + ei; i=1, 2,3, ..., 7 (c) Two-way ANCOVA with no interaction and common slope, Y = u+a; + Bj + yxijk + ei; i=1, 2, 3; j= 1, 2; k= 1, 2.

QI. Write the following models using matrix notation, Y = XB +e: (a) Multiple regression, Y = Bo+B1X1+B2Xi2 + B3X13 +ei; i=1, 2, 3, .., 7. .... (b) Multiple polynomial regression, Y; = Bo + Bixi1 + B2X12 + B3x + B4x+ B3X¡1X¡2 + ei; i=1, 2,3, ..., 7 (c) Two-way ANCOVA with no interaction and common slope, Y = u+a; + Bj + yxijk + ei; i=1, 2, 3; j= 1, 2; k= 1, 2.

MATLAB: An Introduction with Applications
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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QI. Write the following models using matrix notation, Y = XB +e : (a) Multiple regression, Y = Bo +BXin + B2xi2 + B3X13 + ei; i=1, 2, 3, ..., 7. (b) Multiple polynomial regression, Y; = Bo + Bxi1 + B2Xi2 + B3x + B4x + B5X11X12 + ei; i= 1, 2, 3, ..., 7 (c) Two-way ANCOVA with no interaction and common slope, Yi = µ+a; + Bj + yxijk + ei; i=1, 2, 3; j= 1, 2; k= 1, 2.
Transcribed Image Text:QI. Write the following models using matrix notation, Y = XB +e : (a) Multiple regression, Y = Bo +BXin + B2xi2 + B3X13 + ei; i=1, 2, 3, ..., 7. (b) Multiple polynomial regression, Y; = Bo + Bxi1 + B2Xi2 + B3x + B4x + B5X11X12 + ei; i= 1, 2, 3, ..., 7 (c) Two-way ANCOVA with no interaction and common slope, Yi = µ+a; + Bj + yxijk + ei; i=1, 2, 3; j= 1, 2; k= 1, 2.
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