In a regression analysis involving 25 observations, the following estimated regression equation was developed. ŷ = 10 – 18x1 + 3x2 + 14x3 Also, the following standard errors and the sum of squares were obtained. Sb1 = 3 Sb1 = 6 Sb1 = 7 SST = 4,800 SSE = 1,296 The multiple coefficient of determination is _____. a. .27 b. .73 c. .33 d. .50

In a regression analysis involving 25 observations, the following estimated regression equation was developed. ŷ = 10 – 18x1 + 3x2 + 14x3 Also, the following standard errors and the sum of squares were obtained. Sb1 = 3 Sb1 = 6 Sb1 = 7 SST = 4,800 SSE = 1,296 The multiple coefficient of determination is _____. a. .27 b. .73 c. .33 d. .50

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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Question

In a regression analysis involving 25 observations, the following estimated regression equation was developed.

ŷ = 10 – 18x₁ + 3x₂ + 14x₃

Also, the following standard errors and the sum of squares were obtained.

S_b1 = 3 S_b1 = 6 S_b1 = 7

SST = 4,800 SSE = 1,296

The multiple coefficient of determination is _____.

a. .27

b. .73

c. .33

d. .50

Definition Definition Statistical method that estimates the relationship between a dependent variable and one or more independent variables. In regression analysis, dependent variables are called outcome variables and independent variables are called predictors.

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