I am doing a linear regression with an index (values from -400 to 400) as my continuous dependent variable. It is a misperception index which assesses how far off the correct score the respondent is. A score of 0 is someone who is 100% accurate whereas someone who has scored -400 has widely underestimated and vice versa . My independent variables are the Big 5 personalities which are measured on single item Likert scales of 1-14. I have received the below output and am unsure about how to interpret the coefficients qualitatively. For example, is it that a one unit increase in being open leads to a 1.78 increase in their estimate? Can I interpret the magnitude of the coefficients or only the direction? I have also tried making the index take only positive values, as it is not of paramount importance to maintain the relative value but rather the absolute difference between 0 and their score.

misperception~x | Coef. Std. Err. t P>|t| [95% Conf. Interval]
----------------+----------------------------------------------------------------
extra | -3.099208 .1436898 -21.57 0.000 -3.380838 -2.817578
agree | -4.870928 .1930805 -25.23 0.000 -5.249363 -4.492493
consc | -1.202521 .1783234 -6.74 0.000 -1.552033 -.8530102
stabl | -2.290693 .1672153 -13.70 0.000 -2.618433 -1.962953
openn | 1.784801 .1940903 9.20 0.000 1.404387 2.165216
age | -.8524794 .0173674 -49.08 0.000 -.8865193 -.8184395
date | -2.862688 .0611866 -46.79 0.000 -2.982613 -2.742763
covid_confirmed | .0001927 .000012 16.09 0.000 .0001692 .0002161
covid_death | -.0087171 .0002618 -33.29 0.000 -.0092302 -.0082039
hhmember | -1.384952 .1252958 -11.05 0.000 -1.63053 -1.139374
educ | 1.346437 .0456902 29.47 0.000 1.256885 1.435989
income | -1.02e-08 4.71e-09 -2.16 0.031 -1.94e-08 -9.49e-10
health | -7.273106 .306782 -23.71 0.000 -7.874394 -6.671817
gender | -2.353707 .4309448 -5.46 0.000 -3.198352 -1.509061
_cons | 63197.54 1345.955 46.95 0.000 60559.49 65835.59
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Thank you for any help in advance.