So I am trying to make a linear regression between two variables, the independent variable being "year" and the dependent one "price". So I am trying to determine the influence year has on the price. I am making a linear regression in R like this:

model_price_Year <- lm(data = audi, price ~ year)
summary(model_price_Year) 

And i get the following results:

              Estimate Std. Error t value Pr(>|t|)    
(Intercept) -6.437e 06  8.503e 04  -75.71   <2e-16 
year         3.203e 03  4.215e 01   75.98   <2e-16 

Can the estimate value be that small? Is it correct? And how do i interpret it?

CodePudding user response：

The estimates aren't small: 6.437e 06=6437000 3.203e 03=3203

If you don't want scientific notation, simply put options(scipen = 9999) at the beginning of your script.