In: Statistics and Probability
Download the dataset returns.xlsx. This dataset records 83 consecutive monthly returns on the stock of Philip Morris (MO) and on Standard & Poor’s 500 stock index, measured in percent. Investors might be interested to know if the return on MO stock is influenced by the movement of the S&P 500 index. Please be aware that return is defined as new price − old price old price × 100%, so it is always reported as a percentage.
6. Fit a linear regression model for this dataset and verify that the least-squares regression line is ˆy = 0.3537 + 1.1695x. Also record the values of the regression standard error, sample correlation, and coefficient of determination. Interpret the coefficient of determination in context.
7. Calculate a 95% confidence interval for the slope of the regression line. What is the margin of error for this interval? Interpret this interval in context.
8. Perform a hypothesis test to see if there is a linear relationship between the two variables. Be sure to write the null and alternative hypotheses, calculate the test statistic, find the p-value and critical value, and state an appropriate conclusion. Round to 4 decimal places.
9. Calculate a 95% confidence interval for the mean monthly returns on the stock of Philip Morris when the S&P stock index is 3.0. Interpret this interval in context.
10. Calculate a 95% prediction interval for the monthly return on the stock of Philip Morris when the S&P stock index is 3.0. Interpret this interval in context.
MO | S&P |
-5.7 | -9 |
1.2 | -5.5 |
4.1 | -0.4 |
3.2 | 6.4 |
7.3 | 0.5 |
7.5 | 6.5 |
18.6 | 7.1 |
3.7 | 1.7 |
-1.8 | 0.9 |
2.4 | 4.3 |
-6.5 | -5 |
6.7 | 5.1 |
9.4 | 2.3 |
-2 | -2.1 |
-2.8 | 1.3 |
-3.4 | -4 |
19.2 | 9.5 |
-4.8 | -0.2 |
0.5 | 1.2 |
-0.6 | -2.5 |
2.8 | 3.5 |
-0.5 | 0.5 |
-4.5 | -2.1 |
8.7 | 4 |
2.7 | -2.1 |
4.1 | 0.6 |
-10.3 | 0.3 |
4.8 | 3.4 |
-2.3 | 0.6 |
-3.1 | 1.5 |
-10.2 | 1.4 |
-3.7 | 1.5 |
-26.6 | -1.8 |
7.2 | 2.7 |
-2.9 | -0.3 |
-2.3 | 0.1 |
3.5 | 3.8 |
-4.6 | -1.3 |
17.2 | 2.1 |
4.2 | -1 |
0.5 | 0.2 |
8.3 | 4.4 |
-7.1 | -2.7 |
-8.4 | -5 |
7.7 | 2 |
-9.6 | 1.6 |
6 | -2.9 |
6.8 | 3.8 |
10.9 | 4.1 |
1.6 | -2.9 |
0.2 | 2.2 |
-2.4 | -3.7 |
-2.4 | 0 |
3.9 | 4 |
1.7 | 3.9 |
9 | 2.5 |
3.6 | 3.4 |
7.6 | 4 |
3.2 | 1.9 |
-3.7 | 3.3 |
4.2 | 0.3 |
13.2 | 3.8 |
0.9 | 0 |
4.2 | 4.4 |
4 | 0.7 |
2.8 | 3.4 |
6.7 | 0.9 |
-10.4 | 0.5 |
2.7 | 1.5 |
10.3 | 2.5 |
5.7 | 0 |
0.6 | -4.4 |
-14.2 | 2.1 |
1.3 | 5.2 |
2.9 | 2.8 |
11.8 | 7.6 |
10.6 | -3.1 |
5.2 | 6.2 |
13.8 | 0.8 |
-14.7 | -4.5 |
3.5 | 6 |
11.7 | 6.1 |
1.3 | 5.8 |