2.5 years
~You need to set this problem up in the I=PRT form. This should be your formula then, 450=2400(.075)(t). Then do 2400 times .075 and then times that by t which equals 180t. To get rid of that t then take 450 divided by 180 and you get 2.5. Remember when working with rates put them in decimal form also but your time in years.
I hope this helps you:)
Answer:
// C++ Program to arithmetic operationf on 2 Numbers using Recursion
// Comments are used for explanatory purpose
#include <bits/stdc++.h>
using namespace std;
// add10 recursive function to perform arithmetic operations
int add10(int m, int n)
{
return (m + product(n, 10)); //Result of m + n * 10
return 0;
}
// Main Methods Starts here
int main()
{
int m, n; // 2 Variables m and n declared as integer
cin>>m; // accept input for m
cin>>n; // accept input for n
cout << "Result : "<<add10(m,n); // Print results which is calculated by m + 10 * n
return 0;
}
Easy the answer is B: 17 and one-third
Answer:
Slope is going to be the "M" or gradient of the line. It represents the change in the Y value over time as the line continues. It tells you how high or low it points depending on what the slope is.
Thanks for letting me help!!
Answer:
The set of vectors A and C are linearly independent.
Step-by-step explanation:
A set of vector is linearly independent if and only if the linear combination of these vector can only be equalised to zero only if all coefficients are zeroes. Let is evaluate each set algraically:
,
and
:



The following system of linear equations is obtained:



Whose solution is
, which means that the set of vectors is linearly independent.
,
and 



The following system of linear equations is obtained:


Since the number of variables is greater than the number of equations, let suppose that
, where
. Then, the following relationships are consequently found:




It is evident that
and
are multiples of
, which means that the set of vector are linearly dependent.
,
and 



The following system of linear equations is obtained:



Whose solution is
, which means that the set of vectors is linearly independent.
The set of vectors A and C are linearly independent.