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:
Hello,
Answer: In 1965, Gordon Moore noticed that the number of transistors per square inch on integrated circuits had doubled every year since their invention. Moore's law predicts that this trend will continue into the foreseeable future. ... The 18-month mark is the current definition of Moore's law.
Please read and you will have your answer!
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I Inferred you are referring to the Georgia Virtual School resource program.
<u>Answer:</u>
<u>Guidance Center</u>
<u>Explanation:</u>
Interestingly, the Georgia Virtual School (GaVS) enables students access to Virtual education.
Their resource platform allows students to find information regarding Canvas, student email, registration and Office 365 etc by simply going Guidance Center.
Answer:
The correct answer is A.
Explanation:
Even though the B option, Analogous Estimating, can be used to predict parameters such as cost, scope etc. based on other similar projects done in the past, it is not the best option in our situation because we don't have enough information on the project to give us a detailed estimation. So the technique we should use is given in option A as Monte Carlo Analysis.
Monte Carlo Analysis is especially effective when there are a lot of unknowns or variables in play such as in our case where we don't have a lot of details. It can be used to predict the uncertainties, risks and their impacts on our project.
I hope this answer helps.
