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209 randomly selected voters are shown a video of a political candidate and asked to grade the candidate on friendliness from 0 to 100 where 100 is the best. The video is identical in all cases except that the colour of backdrop (the curtain behind the candidate) is randomly varied among the colours of green, orange, and grey. Also, the room temperature where the voter watches the video is randomly assigned a value between 18 and 30 degrees Celsius. The regression model includes the temperature (tmp) and the temperature squared (tmp2) as well as dummy variables green and orange. Here are the estimated regression coefficients with standard errors in parentheses. The adjusted R² is equal to 0.1019. friendliness = -48.08 +8.441tmp-0.156tmp² +2.862green + 3.125orange Which of the following are legitimate criticisms of the this regression analysis: 1. These are observational results and we cannot infer that the temperature and colour have a causal effect on voters' perceptions of friendliness. II. The vast majority of variation in voters' friendliness scores is caused by factors other than temperature and colour, which means that these results give an informative but partial picture of what affects perceived friendliness. III. Because the researcher did not control for other factors that would affect perceived friendliness such as the personality of the voter watching, the topic discussed in the video, or the body language used, the estimates of the effect of temperature and colour on the rating are biased. O Oll I and II OI and III

209 randomly selected voters are shown a video of a political candidate and asked to grade the candidate on friendliness from 0 to 100 where 100 is the best. The video is identical in all cases except that the colour of backdrop (the curtain behind the candidate) is randomly varied among the colours of green, orange, and grey. Also, the room temperature where the voter watches the video is randomly assigned a value between 18 and 30 degrees Celsius. The regression model includes the temperature (tmp) and the temperature squared (tmp2) as well as dummy variables green and orange. Here are the estimated regression coefficients with standard errors in parentheses. The adjusted R² is equal to 0.1019. friendliness = -48.08 +8.441tmp-0.156tmp² +2.862green + 3.125orange Which of the following are legitimate criticisms of the this regression analysis: 1. These are observational results and we cannot infer that the temperature and colour have a causal effect on voters' perceptions of friendliness. II. The vast majority of variation in voters' friendliness scores is caused by factors other than temperature and colour, which means that these results give an informative but partial picture of what affects perceived friendliness. III. Because the researcher did not control for other factors that would affect perceived friendliness such as the personality of the voter watching, the topic discussed in the video, or the body language used, the estimates of the effect of temperature and colour on the rating are biased. O Oll I and II OI and III

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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209 randomly selected voters are shown a video of a political candidate and asked to grade the candidate on friendliness from 0 to 100 where 100 is the best. The video is identical in all cases except that the colour of backdrop (the curtain behind the candidate) is randomly varied among the colours of green, orange, and grey. Also, the room temperature where the voter watches the video is randomly assigned a value between 18 and 30 degrees Celsius. The regression model includes the temperature (tmp) and the temperature squared (tmp²) as well as dummy variables green and orange. Here are the estimated regression coefficients with standard errors in parentheses. The adjusted R² is equal to 0.1019. friendliness = -48.08 +8.441tmp-0.156tmp² +2.862green + 3.125orange Which of the following are legitimate criticisms of the this regression analysis: 1. These are observational results and we cannot infer that the temperature and colour have a causal effect on voters' perceptions of friendliness. II. The vast majority of variation in voters' friendliness scores is caused by factors other than temperature and colour, which means that these results give an informative but partial picture of what affects perceived friendliness. III. Because the researcher did not control for other factors that would affect perceived friendliness such as the personality of the voter watching, the topic discussed in the video, or the body language used, the estimates of the effect of temperature and colour on the rating are biased. O 11 OI and II OI and III
Transcribed Image Text:209 randomly selected voters are shown a video of a political candidate and asked to grade the candidate on friendliness from 0 to 100 where 100 is the best. The video is identical in all cases except that the colour of backdrop (the curtain behind the candidate) is randomly varied among the colours of green, orange, and grey. Also, the room temperature where the voter watches the video is randomly assigned a value between 18 and 30 degrees Celsius. The regression model includes the temperature (tmp) and the temperature squared (tmp²) as well as dummy variables green and orange. Here are the estimated regression coefficients with standard errors in parentheses. The adjusted R² is equal to 0.1019. friendliness = -48.08 +8.441tmp-0.156tmp² +2.862green + 3.125orange Which of the following are legitimate criticisms of the this regression analysis: 1. These are observational results and we cannot infer that the temperature and colour have a causal effect on voters' perceptions of friendliness. II. The vast majority of variation in voters' friendliness scores is caused by factors other than temperature and colour, which means that these results give an informative but partial picture of what affects perceived friendliness. III. Because the researcher did not control for other factors that would affect perceived friendliness such as the personality of the voter watching, the topic discussed in the video, or the body language used, the estimates of the effect of temperature and colour on the rating are biased. O 11 OI and II OI and III
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