Dependent: SEI10 – Respondent’s socioeconomic index

Independent: TRUST – Can people be trusted, TVHOURS – Hours per day watching TV

Recode the TRUST variable, since it is not a dummy variable. 1 – trust, 0-no trust (can’t be too careful, depends). Create the inter variable and run the regression.

b1 (dummy): The difference in the average level of the dependent variable between the categories of this independent variable, when the other independent variable is 0 (the mean of grade is 0).

b1: In a hypothetical case, when someone does not watch TV at all then the average socioeconomic index for those who believe that people can be trusted is 17.226 higher than for those who believe that people cannot be trusted. (p<0,001)

b3 (inter): if the scale independent variable increases by 1 unit, then how much will be the effect of the dummy variable. If the scale independent variable will increase by 1 unit then the difference between the two groups (the categories of this dummy variable) will increase/decrease this much.

b3 (inter): If someone watches TV one hour more in a day then the effect of trust will be -3,680. So, if someone watches TV one hour more in a day the socioeconomic status of those who believe that people can be trusted will be 3.680 less then those who believe that people cannot be trusted. (p<0,05)