Answer: True
Explanation:
Strategic decisions do indeed take long-term commitment because they are meant to help the company in the long term not the short.
Strategic decisions usually set goals and achieve results in the long term. They are not expected to yield results in the short terms which is why MacDonald's pressed on with the all-day breakfast despite initial challenges.
Answer:
b. other than 1
Explanation:
Nonlinear models are called that way because they are not linear in parameters. In order for this nonlinear characteristic to exist, the exponents of the parameters must be any number other than 1.
While linear models can have a nonlinear relationship between the predictors and independent variables. But when you analyze the mean (predictor), it must be linear with the parameters.
Answer:
Stimulus generalization
Explanation:
Stimulus generalization defines that it is the process of call up for a reason by giving responses. For example we call dog by using the bell so that dog can come for food.
Therefore according to the given situation, Many store brands use similar packaging and labeling to the more expensive big company. The idea is that in customers, the look-alike kit would evoke a similar reaction that allows them to buy the affordable store brand so this is an example of Stimulus generalization
The answer to your question is,
Periodically test food for illness causing microorganisms.
-Mabel <3
Answer:
hope this helps
Assume that you hold a well-diversified portfolio that has an expected return of 11.0% and a beta of 1.20. You are in the process of buying 1,000 shares of Alpha Corp at $10 a share and adding it to your portfolio. Alpha has an expected return of 21.5% and a beta of 1.70. The total value of your current portfolio is $90,000. What will the expected return and beta on the portfolio be after the purchase of the Alpha stock? Do not round your intermediate calculations.
Old portfolio return
11.0%
Old portfolio beta
1.20
New stock return
21.5%
New stock beta
1.70
% of portfolio in new stock = $ in New / ($ in old + $ in new) = $10,000/$100,000=
10%
New expected portfolio return = rp = 0.1 × 21.5% + 0.9 × 11% =
12.05%
New expected portfolio beta = bp = 0.1 × 1.70 + 0.9 × 1.20 =
1.25
Explanation:
