Im trying to analyze the “nbasal” dataset based on position.
when I run this line:
model1 = lm(wage ~ exper, data = center_players) # regression on center players
summary(model1)
The output is this
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1184.64 355.26 3.335 0.00174 **
exper 80.21 51.22 1.566 0.12450
when I run this:
model2 = lm(wage ~ exper + points, data = center_players)
summary(model2)
the output is this:
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -33.43 244.90 -0.136 0.8921
exper 71.13 29.86 2.382 0.0217 *
points 149.05 16.02 9.306 7.3e-12 ***
I don’t understand how each point increases salary by 149.05 and the intercept become -33. can someone explain this to me.
submitted by /u/Expensive-Still7318
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