Answer:
$380.64
Explanation:
So he what you do is take $488 multiply it by 22% to get $107.36 you then subtract $488 from $107.36 to get what he was paying before premium increase which is $380.64
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:
#include <iostream>
using namespace std;
struct StudentType{
string studentName;
int studentId;
}
int n;
char answer[20];
int main(){
cout<< "Enter the size of the array: ";
cin >> n;
StudentType *student = new StudentType(n);
for (int i = 0; i < n; i++){
int name;
int number;
cin>> name;
cin >> number;
student[i].studentName = name;
student[i].studentId = number;
}
for (int i = 0; i < 20; i++){
cout<< "Enter answers: ";
cin >> ans;
answer[i] = ans;
}
}
Explanation:
The C++ source code has three global variables namely, answer which is an array of character data type, StudentType which is a structure data type and the integer variable n. The main function declares and initializes the dynamic-spaced student array of the structure datatype with the n variable.
Bacon, go to the bacon! WORSHIP THE BACON!!!!!!!
