I have included all 35 observations as the model likely won't work properly if there aren't enough observations. I was hoping that the output would consist of a table containing the estimated coefficient of each variable, the standard errors, z values and P-values to allow me to ascertain which variables are significant determinants of the dependent variable.Īpologies for the insufficient information I had provided. I hope this makes things a bit clearer for you. Right = Inf, dist = "gaussian", data = dat) Tobit(formula = dat$DerivativesValue ~ dat$.27 + dat$ReturnonEquity +ĭat$CurrentRatio + dat$MTBV + dat$LeverageRatio, left = 0, Survival::Surv(ifelse(dat$DerivativesValue 0, type = "left")
Survival::Surv(ifelse(dat$DerivativesValue 0, type = "left") 0 List(survival::Surv(ifelse(dat$DerivativesValue 0, type = "left"), dat$.27,ĭat$ReturnonEquity, dat$CurrentRatio, dat$MTBV, dat$LeverageRatio) Survival::Surv(ifelse(dat$DerivativesValue 0, type = "left") ~ dat$.27 +ĭat$ReturnonEquity + dat$CurrentRatio + dat$MTBV + dat$LeverageRatio
#Regression in r studio code
When I run the code above I receive the following output: The dependent variable has 20 observations with a value of 0 and so the data is left-censored. All the variables in the investigation are continuous. I am having trouble uploading the Excel file which contains the data under investigation but it consists of 35 observations all with numerical values recorded for each of the independent variables in the formula.
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