Answer: (C) Ignore customer satisfaction
Explanation:
All of the above given options are correct for the successful business except Option (C) as ignoring customer satisfaction is one of the disadvantage in the business.
The customer satisfaction is the important factor in the business as it basically promotes the customer retention. If the customer get satisfied with the products and services which is provided by you then, it automatically increase the productivity.
Answer:
The correct answer is option a.
Explanation:
A Minnesota farmer buys a new tractor made in Iowa by a German company.
This transaction will lead to an increase in US investment and US GDP. There will be no effect on German GDP.
Since tractor is a capital good its purchase will be included as investment expenditure. Even though the company is German, the production and sale take place within the geographical boundaries of the US, the transaction will be included in the US GDP, not in German GDP.
Answer:
$27.90 is the correct answer
b. driving your own automobile
c. taking a bus
d. taking Amtrak
the government
scarce resources
Answer:
investors.
Explanation:
Answer:
B is the answer
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The test for autocorrelation is the Durbin-Watson test.
The test for autocorrelation is used to determine whether there is a correlation between the residuals of a regression model and their lagged values. One commonly used test for autocorrelation is the Durbin-Watson test. This test provides a test statistic that ranges from 0 to 4, with values close to 2 indicating no autocorrelation.
The Durbin-Watson test works by comparing the differences between adjacent residuals to the overall variability of the residuals. If the differences between adjacent residuals are consistently positive or negative, it suggests the presence of autocorrelation.
Other tests, such as the QQ test and the Shapiro-Wilk test, are not specifically designed to test for autocorrelation. The QQ test is used to assess the normality of residuals, while the Shapiro-Wilk test is used to test the assumption of normality in a dataset.
Learn more about test for autocorrelation here:
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b. primary industries
c. trinity industries
d. secondary industries