The |*| symbols take away the negative value of a number. So |-3| is just “3”. I can explain more if needed :)
The amount of variance for y that is predicted by its relationship with x is 64%.
<h3>
How much variance is predicted?</h3>
Variance measures the rate of dispersion of a data point around the dataset. It can be calculated by finding the square of the standard deviation of a dataset. Variance measures the variation of a data set.
Correlation is a statistical measure used to measure the linear relationship that exists between two variables. The greater the correlation coefficient is closer to one, the greater the linear relationship that exists between the two variables. A positive correlation occurs when the two variables move in the same direction.
Variance = (correlation coefficient²) x 100
(0.80²) x 100
0.64 x 100 = 64%
To learn more about correlation, please check: brainly.com/question/27246345
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The matrix whose columns are the coordinate vectors of the Hermite polynomials relative to the
standard basis {1,t,t²,t³} of P3 is given by:
Since this matrix is already in row echelon form and there are 4 nonzero pivots, then its columns are linearly
independent. Since the coordinate vectors form a linearly independent set, then the Hermite polynomials
form a linearly independent set in P3: The dimension of P3 is 4; so this set of Hermite polynomials forms a basis for P3:
To learn more about Hermite polynomials from the given link
brainly.com/question/15737825
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Answer:
Step-by-step explanation:
just add them......8 + 9 = $ 17 <==
Answer:
y + 4x + 2
Step-by-step explanation: