It is a vehicle that requires high minimum balances but offers higher interest rates
I hope that's help;0
Use action words such as oversaw, multitasked, and interacted to describe your work experience.
Answer:
Some of the characteristics of successful leaders are that they must be able to direct, guide and commit their employees. In this example, Barbara is just doing that, she is telling her employees what will be done in a way that they both agree upon and believe it is a good option.
She was able to stop an argument that could eventually lead to more serious problems within the organization and provided a solution that satisfied both parties.
Answer:The expected rate of return on a bond is the total return that an investor can expect to receive from holding the bond. To calculate the expected rate of return, we need to consider both the interest payments and any capital gains or losses from buying the bond at a discount or premium.
In this case, the bond is selling at a discount of $15 ($1,000 - $985). Since the bond pays 6 percent annual interest semiannually, it means that the bond pays $30 ($1,000 x 6% / 2) in interest every year.
To calculate the expected rate of return, we need to add the interest payment to the capital gain or loss. The capital gain or loss is the difference between the face value ($1,000) and the selling price ($985). In this case, the capital loss is $15.
So, the total return on the bond is the sum of the interest payment and the capital gain or loss: $30 + (-$15) = $15.
To calculate the expected rate of return, we divide the total return by the selling price of the bond and multiply by 100 to get a percentage. In this case, the expected rate of return is ($15 / $985) x 100 = 1.52%.
Therefore, the bond's expected rate of return is 1.52%.
ᕙ༼◕ ᴥ ◕༽ᕗ Hope this helps
Answer:
As a sales manager for GooGooLi Corporation, you have asked your sales analytics team to provide you with a predictive model of the factors that can help you predict the sales for the next quarter. In the report, your sales analytics experts have developed a new regression model that can explain the variation in quarterly sales better than the previous model. You decide to verify this by comparing the results of the new model (that explains sales variation better) with the older model. You expect to see the R-square for new model to be higher than the old model.
Explanation:
As the R square is the coefficient of the variation and it determines the percentage of explained variability of the data. It should be higher as the new model is the best fit to the data.