In an R linear regression model output, you see this result for the p-value of your independent variable ( house_size ):
Coefficients: Estimate Std. Error t value Pr(|t|)
(Intercept) 30.0000 5.0000 6.000 0.0082
house_size 0.1200 0.0030 40.000 0.0001 ***

What does the p-value of 0.0001 for house_size imply in the context of the model?

Question

In an R linear regression model output, you see this result for the  p-value  of your independent variable ( house_size ): 
 Coefficients:               Estimate   Std. Error  t value  Pr(>|t|)    
(Intercept)   30.0000    5.0000      6.000    0.0082
house_size     0.1200    0.0030     40.000   0.0001 ***
 
 What does the p-value of  0.0001  for  house_size  imply in the context of the model?

Answer

There is no relationship between house size and price.

Answer

The model is overfitting the data.

Answer

The relationship between house size and price is statistically significant

Answer

The house size is not useful for predicting the price

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In an R linear regression model output, you see this result for the p-value o...

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