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Answer:
(B) multicollinearity is present.
Explanation:
Multicollinearity -
It is the process where , one of the predictor variable in the multiple regression model can be linearly predicted from the others with the substantial degree of accuracy , is known as multicollinearity or collinearity .
<u>In this case , the coefficient estimated of the multiple regression can change erratically for even a small change in the model .</u>
hence , from the question , the indication is of (B) multicollinearity is present .
The calculated value of the Z statistic to test the potential buyer's belief at the 1% significant level is -2.57512627.
The calculated Z score is slightly greater than the critical value of -2.575, the potential buyer's view that weekly store revenues are less than $7,000 stands vindicated.
Since store revenues are assumed to be normally distributed and population standard deviation is given, we can use the Z-test. The relevant test statistic is the Z-score.
We use the following formula for calculating the Z score:
Z = (X - μ) / (σ /√n)
Substituting the relevant values we get,
Z = (6400 -7000) / (1042/√20)
Z = -600 / 232.9982833
Z = -2.57512627
Answer:
The solvency ratio is closest to: B. 33%.
Explanation:
<em>The solvency ratio = After tax Net Operating Income ÷ Total Debt</em>
Thus,
The solvency ratio = $75,000 ÷ ($15,000 + $200,000)
= 35.88%
Therefore this is closest to B. 33%.
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