Suppose a student had access to this information and wanted to predict their grade for an upcoming paper. Their paper is 3 pages long. A. Write out the equation of the regression line to predict grade from paper length. B. Predict the grade for this student whose paper is 3 pages long. C. If someone received a grade of 100 on their paper, predict the number of pages of their paper (this will involve multiple steps; ie find the equation of the regression line first, then plug in to make a prediction).'

see attached

step-by-step explanation:

given the function as;

write the equation replacing f(x) with y

form   and fill a table containing values of y with corresponding values of x

you can take a range for   values of x as -3≤x≤3

solving for x=-3

for x=-2

repeat the same procedure to get the values of y for the remaining ,x=-1 to x=3

plot the values of y against values   of x and obtain the following graph

required rate of return = 0.166 = 16.6%

step-by-step explanation:

under the capital asset pricing model (capm), the required or expected rate of return for a particular security or asset is given using the formula:

required rate of return = risk-free rate + beta*(market risk premium)

we are given that;

risk-free rate = 4% = 0.04

beta = 1.4

market risk premium = 9% = 0.09

we simply plug these values into the above formula;

required rate of return = 0.04 + 1.4*(0.09)

required rate of return = 0.04 + 0.126

required rate of return = 0.166 = 16.6%

∈3,600

step-by-step explanation: