Answer: C. The risk-free rate
Explanation: According to the Capital Asset Pricing Model, the security market line is a straight line. The intercept of this line should be equal to:
A. Zero
B. The expected risk premium on the market portfolio
C. The risk-free rate
D. The expected return on the market portfolio
The intercept of the security market line (This line shows the expected rate of return of a security as a function of systematic, non-diversifiable risk (beta), in other words, it is simply the line on which all capital investments lie) is equal to the risk-free interest rate (the theoretical rate of return of an investment with no risk of financial loss) according to the Capital Asset Pricing Model (CAPM).
The line is represented graphically as a straight line with risk on its horizontal axis, which is the independent variable, and expected return on the vertical axis, which is the dependent variable. The security market line also shows that investors would want higher rates of return with increasing levels of risk taken.
The error of Naomi is that she included the receipts of interest, receipts of dividends, and proceeds from planned sales of plant assets in the cash receipts section. This section would only include the cash sales and collection of accounts receivable with the forecasted sales per month of the company. As a result of this error, the cash receipts would be too high.
Answer:
False
Explanation:
It is false that the varied and heterogeneous look, feel, and functionality that operating systems enforce across various programs help make it easier for users to learn new software.
Answer:
Answer C
Explanation:
If one of the variables is measured on dichotomous nominal scale, such as gender and other is measured on interval or ratio scale, than we use point biserial correlation coefficient. It will measure our initial hypothesis that there is a connection between the time spent on the phone, talking to your mother with gender. Later, if we would want to conclude how strong is this connection, we would use regression analysis.
