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Levart [38]
4 years ago
5

Multiplying the dependent variable by 100 and the explanatory variable by 100,000 leaves the a) OLS estimate of the slope the sa

me b) OLS estimate of the intercept the same c) regression R2 the same d) variance of the OLS estimators the same e) none of the above remain the same
Business
1 answer:
Korolek [52]4 years ago
4 0

Multiplying the dependent variable by 100 and the explanatory variable by 100,000 leaves the OLS estimate of the slope the same.

Explanation:

Its because, The OLS slope coefficient calculators are not based on the weight.

In statistics ordinary least square (OLS), an estimate of uncertain parameters in the linear regression model is a linear least-square form. OLS is the highest likelihood estimator on the basis that errors naturally are distributed.

The OLS estimator is compatible when the regressors are exogenous and efficient when the errors are homoscedastic and not strongly associated within the class of linear unbiased estimators.

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If a country of 300 million people has a total income of $12 trillion, its per capita income is:
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12,000,000,000,000/300,000,000
Remove 8 zeroes from each value:
120,000/3 = 40000
The per capita income is $4000
So the per capita income is $40000 for every man, woman, and child.
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A family resources are unlimited? <br> True or false
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Answer:

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3 years ago
On January 2, 2017, Jones Company purchases a call option for $300 on Merchant common stock. The call option gives Jones the opt
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Answer and Explanation:

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3. The impact would be

Unrealized holding gain is

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