Answer:
Step-by-step explanation:
Given that college GPA is positively correlated with salary after college
This means there is a positive linear relationship between GPA and salary after college.
Or we can write one as dependent and another as independent.
Since in the given question Salary is to be found out for given GPA we can make GPA as independent variable and Salary after college dependent variable
We will find a linear relationship as
Salary = slope * GPA + intercept
So
If we use knowledge of a student's GPA to predict his or her salary, the criterion variable is __GPA_____ and the predictor variable is __Salary after college._____.
Answer:
It's rational
Step-by-step explanation:
hope this helps :)
F(x)=x2,g(x)=f(3x)=(3x)2=9x2Now to graph y=9x2. This is a parabola (U-shape), vertex at (0, 0), symmetric aroung y axis. When x=1/3 or -1/3, then y=1.
There are 2 cows and 1 chicken how many animals are there?
3 animals
Answer:
- The dimensions of a matrix are the number of rows × the number of columns of the matrix.
- For the example below, the the matrix is 3 × 4.
Explanation:
<em>The dimensions of a matrix</em> is the number of rows × the number of columns of the matrix.
Your matrix is garbled. Thus, to help you I will work with an hypothetical matrix.
Assume the matrix:
![\left[\begin{array}{cccc}1&0&0&0\\2&4&0&3\\0&0&0&9\end{array}\right]](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bcccc%7D1%260%260%260%5C%5C2%264%260%263%5C%5C0%260%260%269%5Cend%7Barray%7D%5Cright%5D)
That matrix has four colums and 3 rows.
For instance, the first colum is:
Thus, it has 4 columns.
And the second row is:
Thus, it has 3 rows.
Hence, the matrix is 3 × 4.
The first number is the number of rows and the second number is the number of columnns.