Suppose that a researcher wishes to test for calendar (seasonal) effects using a dummy variables approach. Which of the followtr regressions could be used to examine this? A regression containing intercept dummies Aregression containing slope dummies A regression containing intercept and slope dummies A regression containing a dummy variable taking the value 1 for one observation and zero for all others K0. (), (H, and (iv) B) Land ) only e and vi only and only

Suppose that a researcher wishes to test for calendar (seasonal) effects using a dummy variables approach. Which of the followtr regressions could be used to examine this? A regression containing intercept dummies Aregression containing slope dummies A regression containing intercept and slope dummies A regression containing a dummy variable taking the value 1 for one observation and zero for all others K0. (), (H, and (iv) B) Land ) only e and vi only and only

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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Suppose there is 1 dependent variable (dissolved oxygen, Y) and 3 independent variables (water temp X1, depth X2, and hardness of water X3). Below is the result of the multiple linear regression.Which of the following statements is TRUE? Both intercept and water temperature are the significant predictors of the amount of dissolved oxygen. If all other predictor variables are held constant, the amount of dissolved oxygen decreases on the average by 0.15 for every 1 unit increase in depth. Hardness is also a significant predictor of the amount of dissolved oxygen since its coefficient -0.04 is less than 0.05. The intercept has strong linear relationship with the amount of dissolved oxygen.
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