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Price/Book Value Ratio 1.442 8.352 2.084 6.568 1.233 3.299 2.398 5.263 2.452 7.697 0.535 2.463 7.575 5.208 2.135 4.835 2.118 4.038 1.834 1.585 2.009 5.051

Price/Book Value Ratio 1.442 8.352 2.084 6.568 1.233 3.299 2.398 5.263 2.452 7.697 0.535 2.463 7.575 5.208 2.135 4.835 2.118 4.038 1.834 1.585 2.009 5.051 2.333 2.062 2.877 1.749 5.471 4.744 2.638 1.614 8.366 2.186 2.805 7.415 3.242 2.705 2.557 1.238 3.059 10.279 2.096 1.692 2.077 7.073 1.368 5.709 6.446 2.528 3.501 7.027 13.685 4.037 7.265 6.084 0.995 9.365 1.239 1.053 3.904 3.521 2.133 10.092 4.172 8.443 2.131 4.017 2.334 2.954 4.547 4.958 2.194

Return on Equity 12.935 11.772 12.328 25.209 8.706 38.013 25.652 19.736 22.717 69.651 3.705 9.267 29.205 17.812 29.232 31.494 14.686 11.954 14.279 14.032 14.987 20.644 14.906 5.636 11.167 16.242 23.952 14.795 6.137 19.091 38.877 15.259 19.672 18.373 20.723 34.774 15.456 10.396 23.663 91.505 1.496 9.471 19.531 5.008 42.747 90.826 19.493 27.218 13.033 24.645 81.937 1.531 3.695 31.518 4.977 47.829 13.372 35.964 28.714 18.171 13.928 133.056 21.925 11.274 17.284 19.474 8.544 18.671 21.706 49.478 19.362

Growth% 6.526 135.709 0.163 14.151 22.706 19.147 24.615 11.604 49.935 36.691 41.094 28.831 52.085 25.216 23.877 9.581 18.566 39.086 39.468 27.167 13.121 17.193 15.854 16.791 8.331 18.241 16.686 46.581 34.035 8.533 14.987 25.237 0.348 3.249 9.559 7.095 9.505 4.695 4.054 13.412 15.846 5.649 -0.059 102.695 1.568 74.026 8.964 34.595 12.191 11.477 24.472 20.098 22.366 49.929 13.163 61.223 10.825 9.144 71.031 51.859 17.022 171.242 8.484 247.831 10.769 6.336 24.588 14.332 5.871 31.373 3.902

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Ananciai analyst engaged In business valuation obtained nanciai data on 71 drug companies Let Y correspond to the price-to-book value ratio, X1 correspond to the return on equity, and X2 correspond to the grow1h percentage Use the accompanying data to complete pans a. through e. below, Ciick the icon to View the business valuation data a. Develop a regression model to predict priceitoibookivalue ratio based on return on equity. A vi : 23325 + 0,0703x1' (Round to four decimal places as needed ) b. Develop a regression model to predict priceitorbookivaiue ratio based on growth Y. : 31411 + 00307 xz' (Round to four decimal places as needed ) :2. Develop a regression model to predict priceitoibookivalue ratio based on return on equity and growth in: 19461 + 0,0604 x19 0,021\"2| (Round to four decimal places as needed ) d. Compute and interpret the adjusted r2 tor each oi the three models Start With the part (a) model. The adlusted r2 shows that \"/u ofthe variation in V is explained by V V correcting for the number of independent variables in the model (Round to one decimal place as needed )

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