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Sonbull [250]
4 years ago
6

(2 points) The least squares method requires that the variance σ2????σϵ2 of the error variable ????ϵ is a constant no matter wha

t the value of x is. When this requirement is violated, the condition is called: A. homoscedasticity B. non-independence of ????ϵ C. heteroscedasticity D. influential observation In regression analysis, the coefficient of determination R2R2 measures the amount of variation in y that is: A. caused by variation in x B. unexplained by variation in x C. explained by variation in x D. both A and B are correct answers Help Entering Answers
Mathematics
1 answer:
attashe74 [19]4 years ago
6 0

Answer:

C. heteroscedasticity

Step-by-step explanation:

The  OLS regression assumption of error variance being constant irrespective of independent variables, is called Homoscedasticity.

Var (u | x) = σ^2 (u) ;

where u = error term, x = independent variable, σ^2 (u) = constant error variance

The violance of this assumption ie Var (u | x) is related to independent variable x, is called Heteroscedasticity.

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Answer: 213 meters.

Step-by-step explanation:

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2([3.5 x 6]+[9 x 6]+[3.5 x 9])

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a computer expert can do a job on the computer in 6 hours. His secretary can do the same job in 7 hours. After the expert works
konstantin123 [22]

Answer:

4 + 2/3 hours

Step-by-step explanation:

For the expert,

6 hours = 1 job

For the secretary,

7 hours = 1 job

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6 hours * 2/6 = 1 job * 2/6

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Therefore, the expert does 2/6 of the job, and 1-2/6 = 4/6 of the job is left for the secretary. We want to figure out how long it takes for her to complete the job

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and want to figure out

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We can multiply both sides of the original equation by (4/7) (the number we want to get to) / 1 (the number we are at) to get

7 hours * 4/6 = 1 job * 4/6

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= 4 + 4/6 hours

= 4 + 2/3 hours

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