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:
<u>Answer:</u>
<u>Privacy concerns.</u>
<u>Explanation:</u>
Privacy concerns have played an important role in how we collect digital data. For example, privacy activists believe that an individual has the right to know how his or her information is being used and that such an individual also has the right to withhold such information.
Such issues have affected the ability of law enforcement agencies to investigate criminal activities. For example, an individual who is accused of a crime may claim a <em>right to withhold his personal information, such as his mobile device, and thus he refuses to give out such information.</em>
Answer:
NOPE
Explanation:
sometimes presentations can be for one person only. For instance if you work in a company sometimes you present for your boss only etc.
Hope this helped :)