Businesses are more likely to fire older, higher-paid workers. Seniority rules protect older workers. Thus, option C is the correct option.
Union contracts often include provisions that protect workers who have seniority, primarily because older workers tend to be more vulnerable to certain employment risks. Businesses may be inclined to lay off or terminate older, higher-paid workers to reduce costs or make way for younger, less expensive hires.
Seniority rules provide job security for workers with longer tenure, giving them priority in retention and rehiring decisions. This helps safeguard older workers from potential discrimination based on age or higher wages. By including seniority-based protections in union contracts, unions can ensure fairness, protect the rights of their members, and mitigate potential age-related employment challenges.
Thus, option C is the correct option.
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b. letters of reference.
c. inventory information.
d. staffing requirements.
Answer:
B) TAKE ON DEPT
ANSWER ON ENG
Answer:
The amortization expense will Johnson recognize on the Income Statement for the year ended December 31st, 2017 is $ 5100.
Explanation:
Amortisation Expenses for 2017
So Amortisation on Original Cost: ($18000/5) = $ 3600
Amorisation on legal expenses = $ 1500
(7500 x 6months/ Remaining life(i.e. 30 months)
Total Amortisation Expenses for 2017 = $ 5100
Therefore, The amortization expense will Johnson recognize on the Income Statement for the year ended December 31st, 2017 is $ 5100.
Answer:
B is the answer
Pls Mark as brainliest answer
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.
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