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In: Statistics and Probability

Download the dataset returns.xlsx. This dataset records 83 consecutive monthly returns on the stock of Philip...

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

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