Below you are given a partial Excel output based on a sample of 16 observations. ANOVA df SS MS F Regression 4,853 2,426.5 Residual 485.3 Coefficients Standard Error Intercept 12.924 4.425 x1 -3.682 2.630 x2 45.216 12.560 The interpretation of the coefficient of x1 is that _____. a. a one-unit increase in x1 will lead to a 3.682-unit decrease in y when all other variables are held constant b. a on-unit increase in x1 will lead to a 3.682-unit decrease in x2 when all other variables are held constant c. It is impossible to interpret the coefficient. d. a one-unit change in x1 will lead to a 3.682-unit decrease in y
Below you are given a partial Excel output based on a sample of 16 observations. ANOVA df SS MS F Regression 4,853 2,426.5 Residual 485.3 Coefficients Standard Error Intercept 12.924 4.425 x1 -3.682 2.630 x2 45.216 12.560 The interpretation of the coefficient of x1 is that _____. a. a one-unit increase in x1 will lead to a 3.682-unit decrease in y when all other variables are held constant b. a on-unit increase in x1 will lead to a 3.682-unit decrease in x2 when all other variables are held constant c. It is impossible to interpret the coefficient. d. a one-unit change in x1 will lead to a 3.682-unit decrease in y
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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Below you are given a partial Excel output based on a sample of 16 observations.
The interpretation of the coefficient of x1 is that _____.
ANOVA | |||||||
df | SS | MS | F | ||||
Regression | 4,853 | 2,426.5 | |||||
Residual | 485.3 | ||||||
Coefficients | Standard Error | |||
Intercept | 12.924 | 4.425 | ||
x1 | -3.682 | 2.630 | ||
x2 | 45.216 | 12.560 |
The interpretation of the coefficient of x1 is that _____.
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