Answer:
3<x<5
Step-by-step explanation:
How many B titles
How many C titles
Heteroscedasticity does mean that the variability of y-values is larger for some x values than for others, which is a condition that can impact the efficiency of your estimator and lead to incorrect conclusions in regression analysis.
The statement 'Heteroscedasticity means that the variability of y values is larger for some x values than for others' is True. In the context of regression analysis, heteroscedasticity refers to the variability of the random disturbance (the y-values) being different across elements of an independent variable (the x-values). For instance, the variance of errors might increase or decrease with the level of the dependent variable. This violates the assumption of homoscedasticity in ordinary least squares (OLS) regression, which presumes that the variation around the regression line is the same for all values of the independent variable. The presence of heteroscedasticity could impact the efficiency of your estimator and could lead to incorrect conclusions about the relationship between the dependent and independent variables.
Learn more about Heteroscedasticity here:
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x2 – 10
x4 – 10x2 + 100
x4 + 10x2 + 100
a^3+a^2+ab^2+b^2 a^3+a+a^2b+b
Answer: The answer is 8 1/2! Hope this helped :)
Answer: 10
Step-by-step explanation:
James's age = x
Jack's age = y
y = 7x
y + 5 = 5(x + 5)
y = 7x
y + 5 = 5x + 25
7x - y = 0
5x - y = -20
7x - y = 0
-5x + y = 20
2x = 20
x = 10
James's age: x = 10