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 |