Answer: Inactivity fee
Step-by-step explanation:
The rest of the options are not given but there can only be one correct answer to this question and that's the answer above.
Brokerages earn a return when they trade financial instruments for investors as they take a commission from this. When an investor has not traded for a while, brokerages don't get to make earnings and will be holding the account with minimal rewards.
To compensate for this, they charge an inactivity fee that will ensure that they get some form of earnings for managing the account and not receiving commission.
27 days and 8 hours = 656 hours
27 x 24 = 648
648 + 8 = 656
24 hours = 3,600 seconds
656 x 3,600 = 2,361,600 seconds
The answer is 2,361,600 seconds.
Let the two parts with equal length have length x.
The longer part has length x + 20.
The sum of the three lengths is 695 m.
x + x + x + 20 = 695
3x + 20 = 695
3x = 675
x = 225
x + 20 = 245
The two short parts measure 225 m, and the long part measures 245 m.
Answer:
42.1% of variation in the response is explained by the regression line
Step-by-step explanation:
Correlation coefficient is a measure which tells us that how strongly are two variables under study are linearly related to each other i.e correlation coefficient gives the strength of linear association between the variables.
If the magnitude of correlation coefficient is closer to 1, it indicates a strong linear relationship. If the magnitude of correlation coefficient is closer to 0, it indicates a weak linear relationship.
There is another variable known as "Coefficient of Determination", which is equal to square of Correlation Coefficient. Coefficient of Determination tells us that what percentage of variation in the response of the study can be explained by the regression line.
This means, for this question we need to calculate the Coefficient of Determination.
Correlation coefficient = r = 0.649
Coefficient of Determination = R = r² = (0.649)²= 0.421 = 42.1 %
This means that 42.1% of variation in the response is explained by the regression line.
