Take a look at the following Stata output.In the dataset, the variable "diet_new" is a dichotomous variable, 0 = plant-based diet group, and 1= non-plant-baseddiet group; and the variable "tv" indicates the average TV watching time per day.regress tv diet_newSourceModelResidualTotalSSdiet_new_cons139.93534664692.922464832.8577df139.9353461298 217.090343299tv Coefficient Std. err.MS1.438377 1.79155134.48447 1.451783216.8323Number of obsF(1, 298)Prob > FR-squared3000.640.42270.0022Adj R-squared = -0.0012Root MSE14.734t P>|t|Choose the most appropriate interpretation for this Stata output.0.80 0.42323.75 0.000=||||-2.08731831.62742===[95% conf. intervall4.96407137.34151a. With one unit increase in people's dietary choices, their TV-watching time will increase by 1.4.b.A small proportion of the variation in people's daily TV-watching time is accounted for by their dietary choice.O c. People's dietary choice is not a significant predictor of their daily TV-watching time.d. The two groups do not differ significantly in their average daily TV-watching time.

As per the given regression model, the variable diet_new is independent variable. The variable 'tv'…

Answered: Take a look at the following Stata…

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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Take a look at the following Stata output. In the dataset, the variable "diet_new" is a dichotomous variable, 0 = plant-based diet group, and 1= non-plant-based diet group; and the variable "tv" indicates the average TV watching time per day.