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A research analyst is trying to determine whether a firm s price - earnings ( PE ) and price - sales ( PS ) ratios

A research analyst is trying to determine whether a firms price-earnings (PE) and price-sales (PS) ratios can explain the firms stock performance over the past year. A PE ratio is calculated as a firms share price compared to the income or profit earned by the firm per share. Generally, a high PE ratio suggests that investors are expecting higher earnings growth in the future compared to companies with a lower PE ratio. The PS ratio is calculated by dividing a firms share price by the firms revenue per share for the trailing 12 months. In short, investors can use the PS ratio to determine how much they are paying for a dollar of the firms sales rather than a dollar of its earnings (PE ratio). In general, the lower the PS ratio, the more attractive the investment. The accompanying table shows a portion of the year-to-date returns (Return in %) and the PE and PS ratios for 30 firms.
Firm Return PE PS
14.414.352.39
24.511.000.81
3016.313.971.96
Click here for the Excel Data File
a-1. Estimate: Return =\beta 0+\beta 1PE +\beta 2PS +\epsi .(Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)
a-2. Are the signs on the coefficients as expected?
multiple choice 1
Yes
No
b. Interpret the slope coefficient of the PS ratio.
multiple choice 2
As the PS ratio increases by 1 unit, the predicted return of the firm increases by 3.32%, holding PE constant.
As the PS ratio increases by 1 unit, the predicted return of the firm decreases by 3.32%, holding PE constant.
As the PS ratio decreases by 1 unit, the predicted return of the firm decreases by 33.17%, holding PE constant.
As the PS ratio increases by 1 unit, the predicted return of the firm decreases by 33.17%, holding PE constant.
c. What is the predicted return for a firm with a PE ratio of 10 and a PS ratio of 2?(Negative value should be indicated by a minus sign. Do not round intermediate calculations. Round final answer to 2 decimal places.)
d. What is the standard error of the estimate? (Round your answer to 2 decimal places.)
e. Interpret R2.
multiple choice 3
40.08% of the sample variation in y is explained by the sample regression equation.
40.08% of the sample variation in x is explained by the sample regression equation.
63.31% of the sample variation in x is explained by the sample regression equation.
35.65% of the sample variation in y is explained by the sample regression equation. Return PE PS
4.414.352.39
-4.5110.81
5.911.972.28
511.311.33
-11.39.81.84
20.915.660.79
64.316.091.61
18.98.971.01
-15.211.362.76
4813.711.46
7.311.491.18
20.914.331.31
-18.58.150.82
2.99.482.7
12.411.171.95
-3.712.632.73
1.69.661.98
15.913.481.13
22.814.953.38
-1.28.942.38
-8.110.573.74
-3.37.942.19
15.616.44.56
21.116.310.89
6.315.052.33
129.160.98
13.314.911.39
15.415.580.9
112.560.48
16.313.971.96

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