<span>Hackers who intend to profit from their actions are motivated by money. Those who hack electronics/items in the means to collect profit from doing so are motivated by money. Money is their driving force to hack the item they were told to. </span>
Answer: 6.5%
The yield to maturity is 6.496% (approximated to 6.5% to nearest tenth)
Explanation:
Using the formula (semi annually YTM)
YTM = C + (fv - pv) /t ÷ (fv + pv)/2
C= coupon rate = 7%(1000)= $70
fv = face value = $1,000
pv = price value = $1,032
t = Time to maturity in years = 8years
C + (fv - pv) /t = 70 + (1000–1032)/8
= 70 – (32 /8) =66
(fv + pv) /2 = (1000 + 1032) /2
= 2032 / 2
= 1016
YTM = 66 / 1016
YTM = 0.06496
In % = (6496 / 100,000) × 100
= 6.496%
Approximately.... 6.5%
Answer:
1,100 units; 1,050 units
Explanation:
Calculation to determine the equivalent units for direct materials and conversion costs, respectively, for March
DIRECT MATERIALS CONVERSION COSTS L
Completed and transferred out
1,000 units 1,000 units
(300 units+800 units - 100 units)
Add Work in process, ending
100 units 50 units
(50% Complete*100 units=50 units)
Total equivalent units
1,100 units 1,050 units
Therefore the equivalent units for direct materials and conversion costs, respectively, for March will be 1,100 units; 1,050 units
Answer: C
Explanation: from the given function Y=50-2X, Y is the dependent variable which represent the Viking Hat, while X is the independent variable representing Fish production.
<h3><u>
Full question:</u></h3>
A linear regression to estimate the relation between General Motors' stock returns and the market's return gives the best fitting line that represents the relation between the stock and the market. The slope of this line is our estimate of ________.
A) alpha
B) beta
C) risk-free rate
D) volatility
<h3><u>
Answer:</u></h3>
A linear regression to estimate the relation between General Motors' stock returns and the market's return gives the best fitting line that represents the relation between the stock and the market. The slope of this line is our estimate of beta
<h3><u>
Explanation:</u></h3>
Beta is a broadly applied amount in investment commentary. In economics, the beta of a firm applies to the subtlety of its heritage price concerning an average or benchmark. SLOPE which describes the linear regression implemented among the two variables.
Manipulating beta tacts can be beneficial as a member of a wider investment strategy to restrain downside risk or accomplish short-term gains, but it's essential to retrieve that it is also controlled to the same levels of market levity as any other trading strategy. A beta may yield varying results because of the fluctuations in determining it, such as various periods practiced to estimate data.
