Heteroscedastic residuals will have roughly the same variance for any value of X. Hence:
The correct option is C.
Hetero means that they are different/vary. Homoscedastic would mean that they do not change as the value of x changes.
When the variance of the residuals is uneven throughout a range of measured values, this is referred to as heteroskedasticity. The analysis results may be flawed if heteroskedasticity is present and the population employed in the regression has unequal variance.
One presumption regarding the residuals/errors in OLS regression is that they have the same, but unmeasured, variance. The term "constant variance" or "homoscedasticity" refers to this. Heteroscedasticity is the issue when this presumption is broken.
Hence we get the required answer.
Learn more about Homoscedastic here:
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16.2 because when you times 9 with 9 you get 81.
After that you divide 81 by 5 and you get 16.2
ans is c it is simple c only meet the need of questions
Answer:(2,0) x=2,y=0
Step-by-step explanation:
Let's solve your system by elimination.
−x+y=−2;2x−3y=4
Multiply the first equation by 2,and multiply the second equation by 1.
2(−x+y=−2)
1(2x−3y=4)
Becomes:
−2x+2y=−4
2x−3y=4
Add these equations to eliminate x:
−y=0
Then solve−y=0 for y:
−y=0
−y/−1 =0/−1
(Divide both sides by -1)
y=0
Now that we've found y let's plug it back in to solve for x.
Write down an original equation:
−x+y=−2
Substitute0foryin−x+y=−2:
−x+0=−2
−x=−2(Simplify both sides of the equation)
−x/−1 = −2/−1
(Divide both sides by -1)
x=2
Sorry that's all i know
<h3>that is in my answer</h3>
<h2>#carryonlearning:-D</h2>
