[Multiple choice] The next two questions concern a paper by Patrick Baylis. Refer to figure 1 attached.

Baylis, P. (2020). Temperature and temperament: Evidence from Twitter. Journal of Public Economics, 184, 104161. https://doi.org/10.1016/j. jpubeco.2020.104161

Table 3 Effect of temperature on expressed sentiment by specification. (1) (2) (3) (4) (5) Maximum daily temperature T Ts 5 -0.15 -0.16 0.05 -0.19 -0.09 (0.06) (0.05) (0.07) (0.05) (0.05) TE (5,10] -0.09 -0.07 -0.005 -0.11 -0.03 (0.05) (0.04) (0.05) (0.04) (0.04) TE (10,15] -0.03 -0.02 0.02 -0.03 0.002 (0.04) (0.03) (0.04) (0.03) (0.03) TE (15,20] -0.01 0.004 0.02 -0.003 0.01 (0.02) (0.01) (0.02) (0.01) (0.01) TE (25,30] -0.001 0.01 -0.01 0.01 -0.003 (0.02) (0.02) (0.02) (0.02) (0.02) TE (30,35] -0.04 -0.03 -0.04 -0.03 -0.06 (0.03) (0.03) (0.03) (0.02) (0.02) TE (35,40] -0.11 -0.10 -0.09 -0.09 -0.12 (0.03) (0.03) (0.04) (0.03) (0.03) T>40 -0.23 -0.20 -0.11 -0.18 -0.21 (0.04) (0.05) (0.06) (0.04) (0.04) Other controls CBSA Yes Yes Yes Yes Yes Month Yes Yes Yes Year Yes Yes Yes Yes DOW, Hol Yes Yes Yes Yes SXM Yes MOS Yes State trends Yes N ( millions) 0.7 0.7 0.7 0.7 0.7 Tweets (millions) 1160.6 1160.6 1160.6 1160.6 1160.6 Notes: Table shows estimates of weather on expressed sentiment using different statistical specifications. Expressed sentiment measured using the VADER sentiment analysis algo- rithm. Statistical specifications vary according to choice of fixed effects and other controls, as given in the "Other controls" panel. All specifications include daily precipitation. Coeffi- cients represent the difference (in standard deviations) in expressed sentiment between a day with maximum temperature in the associated temperature bin and a day with tem- perature TE (20,25], the omitted category. N (in millions) is the number of observations Figure 1: Table 3 from Patrick's Paper