1,2,3,4,6,9,12,18,36
please can i have a brainliest
The unit rat is the cost per 1 unit
cost per 1 tomatoe
3.4/4=1.7/2=0.85/1
unit rate is $0.85 per tomatoe
A complex mathematical topic, the asymptotic behavior of sequences of random variables, or the behavior of indefinitely long sequences of random variables, has significant ramifications for the statistical analysis of data from large samples.
The asymptotic behavior of the sample estimators of the eigenvalues and eigenvectors of covariance matrices is examined in this claim. This work focuses on limited sample size scenarios where the number of accessible observations is comparable in magnitude to the observation dimension rather than usual high sample-size asymptotic .
Under the presumption that both the sample size and the observation dimension go to infinity while their quotient converges to a positive value, the asymptotic behavior of the conventional sample estimates is examined using methods from random matrix theory.
Closed form asymptotic expressions of these estimators are obtained, demonstrating the inconsistency of the conventional sample estimators in these asymptotic conditions, assuming that an asymptotic eigenvalue splitting condition is satisfied.
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Step-by-step explanation:
<u>Substitute x = -3, y = -3 into the </u><u>g</u><u>i</u><u>v</u><u>e</u><u>n</u><u> </u><u>equation:</u>

<u>Simplify and Solve:</u>

The point (-3, -3) doesn't satisfy the given equation.
A correlation coefficient of -0.975 on a linear regression indicates: D. One variable has a strong relationship with the other.
<h3>What is Correlation Coefficient?</h3>
Correlation coefficient, r, is a measure of how strong the relationship between two variables is.
A correlation coefficient, r, that is closer to 1 or -1 signifies a strong relationship between two variables and vice versa.
Therefore, a correlation coefficient of -0.975 on a linear regression indicates: D. One variable has a strong relationship with the other.
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