I think it’s A. Leadership
Answer:
Compare the predictions in terms of the predictors that were used, the magnitude of the difference between the two predictions, and the advantages and disadvantages of the two methods.
Our predictions for the two models were very simmilar. A difference of $32.78 (less than 1% of the total price of the car) is statistically insignificant in this case. Our binned model returned a whole number while the full model returned a more “accurate” price, but ultimately it is a wash. Both models had comparable accuracy, but the full regression seemed to be better trained. If we wanted to use the binned model I would suggest creating smaller bin ranges to prevent underfitting the model. However, when considering the the overall accuracy range and the car sale market both models would be
Explanation:
Answer:
1 35
Explanation:
* There is a little typo in printf. It should be "\n".
Initially, the value of the first is 1, and the value of the second is 2. Then, do_something(&second, first) is called. The value of the <em>first</em> will still be 1. However, there is a call by reference for <em>second </em>variable. That means the change made by the function <em>do_something</em> will affect the value of the <em>second</em> variable.
When you look at the calculation inside the <em>do_something</em> function, you may see that value of the <em>second</em> will be 35.
