In: Statistics and Probability
The following data represents the rate of return of the stock exchange (x) and the rate of return of a certain stock (y). The equation of the least squares regression line is
ModifyingAbove y with caret equals 0.9764 x plus 0.5975y=0.9764x+0.5975
and the standard error of the estimate is 2.3518. Answer parts (a)-(d).
x |
0.23 |
0.94 |
1.40 |
3.86 |
3.25 |
minus−2.53 |
1.89 |
minus−1.91 |
minus−2.01 |
3.00 |
0.90 |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|
y |
1.21 |
minus−0.57 |
minus−0.59 |
5.89 |
5.90 |
minus−2.58 |
0.06 |
1.78 |
0.06 |
5.79 |
minus−1.57 |
(a) What is the mean rate of return for the stock if the rate of return of the S&P 500 is
3.78%?
ModifyingAbove y with caret equalsy= 4.3%
(Round to one decimal place as needed.)
(b) Construct a 90% confidence interval about the mean rate of return of y if x equals 3.78 %.x=3.78%.
Lower Bound |
equals= |
nothing % |
|
Upper Bound |
equals= |
nothing % |
(Round to one decimal place as needed.)
(c) Predict the rate of return of the stock if the rate of return on the S&P 500 for a randomly selected month is
3.78%.
ModifyingAbove y with caret equalsy= 4.3%
% (Round to one decimal place as needed.)(d) Construct a 90% prediction interval about the rate of return of y if
xequals=3.783.78%.
Lower Bound |
equals= |
nothing % |
|
Upper Bound |
equals= |
nothing % |
(Round to one decimal place as needed.)