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34kurt
3 years ago
5

6.4 Predicting Prices of Used Cars. The file ToyotaCorolla.csv contains data on used cars (Toyota Corolla) on sale during late s

ummer of 2004 in the Netherlands. It has 1436 records containing details on 38 attributes, including Price, Age, Kilometers, HP, and other specifications. The goal is to predict the price of a used Toyota Corolla based on its specifications. (The example in Section 6.3 is a subset of this dataset.) Split the data into training (50%), validation (30%), and test (20%) datasets. Run a multiple linear regression with the outcome variable Price and predictor variables Age_08_04, KM, Fuel_Type, HP, Automatic, Doors, Quarterly_ Tax, Mfr_Guarantee, Guarantee_Period, Airco, Automatic_airco, CD_Player, Powered_Windows, Sport_Model, and Tow_Bar. a. What appear to be the three or four most important car specifications for predicting the car’s price?
Computers and Technology
1 answer:
Brums [2.3K]3 years ago
8 0

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:

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Numeric data because it consist of numbers
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Direction. List down 5 preventive maintenance tips in using tools and equipment.<br>1.​
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Explanation:

preventive maintenance tips in using tools and equipment.

1. Inspect tools and equipment on a regular basis so as to avoid unexpected breakdown.

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If cos 3/5 what is the sin and tan​
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A. Assume a computer has a physical memory organized into 64-bit words. Give the word address and offset within the word for eac
Galina-37 [17]

Answer:

Check the explanation

Explanation:

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For 27th byte , word address = 8*27/64.

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For 21th byte , word address = 8*31/64

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7 0
3 years ago
In this task, you will perform normalization on a crude table so that it could be stored as a relational database.
ryzh [129]

Answer:

Check the explanation

Explanation:

(1.) The functional dependencies based on assumptions are as follows:-

Trip determines which staff was there in the trip, the car used for the trip, the quantity of fuel used in the trip, the fill up time and the total paid of the trip.

Service station refers to its address

Car details consist of the details of license plate, odometer reading and the fuel type used in the car

fuel type and the fill up time will help to determine the cost of the fuel at that time

cost of the fuel and the quantity of fuel used will determine the total paid

From the above assumptions the functional dependencies are as follows:-

Trip ID -> Staff Name, Car Details, Service Station, Quantity, Fill Up Time, Total Paid

Service Station -> Station Address,

Car Details -> License Plate, Odometer reading, Fuel Type

Fuel Type, Fill up Time -> Cost per litre

Cost per Litre, Quantity -> Total Paid

(2.) Initially the relation is as follows:-

R (Trip ID, Staff Name, Car Details, License Plate, Odometer Reading, Service Station, Station Address, Fill up Time, Fuel type, Quantity, Cost per Litre, Total Paid)

For 1 NF there should not be composite attributes,in the above relation Staff Name and Station Address are composite attributes therefore it will be decomposed as follows:-

R (Trip ID, Staff First Name,Staff Last Name, Car Details, License Plate, Odometer Reading, Service Station, Street, City, State, Zip Code, Fill up Time, Fuel type, Quantity, Cost per Litre, Total Paid)

For 2 NF there should not be partial dependency that is non prime attribute should not dependent upon any 1 prime attribute of candidate key, since in the given relation there is only 1 candidate key which is only Trip ID, therefore the relation is already in 2 NF.

For 3 NF there should not be transitive dependency that is non prime attribute should not dependent upon the other non prime attribute, if it is present then the relation will be decomposed into sub relations, the given relation is not in 3 NF therefore it will be decomposed as follows:-

R1 (Trip ID, Staff First Name, Staff Last Name, Car Details, Service Station, Quantity, Fill up time, Total paid)

R2 (Service Station, Street, City, State, Zip Code)

R3 (Car Details, License Plate, Odometer reading, Fuel Type)

R4 (Fuel Type, Fill up Time, Cost per litre)

R5 (Cost per Litre, Quantity, Total Paid)

(3.) After the 3 NF we add the primary and foreign key constraints as follows:-

R1 (Trip ID, Staff First Name, Staff Last Name, Car Details, Service Station, Quantity, Fill up time, Total paid)

R2 (Service Station, Street, City, State, Zip Code)

R3 (Car Details, License Plate, Odometer reading, Fuel Type)

R4 (Fuel Type, Fill up Time, Cost per litre)

R5 (Cost per Litre, Quantity, Total Paid)

In the above relational schema the primary keys are represented with bold and foreign keys by italic

(4.) The ER diagram of the above relational schema using crow's foot notation are as shown in the attached image below:-

5 0
3 years ago
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