A financial analyst engaged in business valuation obtained financial 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 growth percentage. Use the accompanying data to complete parts a. through e. below. Click the icon to view the business valuation data. C... a. Develop a regression model to predict price-to-book-value ratio based on return on equity. Round to four decimal places as needed.) b. Develop a regression model to predict price-to-book-value ratio based on growth. Round to four decimal places as needed.) c. Develop a regression model to predict price-to-book-value ratio based on return on equity and growth. ₁=+X₁i+X₂i (Round to four decimal places as needed.)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Price/Book Value Ratio Return on Equity
13.032
1.405
8.305
2.113
6.654
1.239
3.262
2.449
5.291
2.398
7.719
0.353
2.569
7.593
5.104
2.012
4.797
2.182
4.129
1.918
1.549
1.951
5.046
2.417
2.159
3.011
1.725
5.582
4.698
Growth%
6.385
11.846 135.669
12.459
0.073
25.092
14.188
8.804
22.766
38.082
18.985
25.696
24.519
19.666
11.624
22.849
49.965
69.649 36.696
3.819 41.139
9.218
29.108
17.772
25.114
29.295 23.764
31.405
9.497
14.759
18.541
12.026
39.016
14.228
39.439
14.097
27.022
14.841
13.237
20.669
17.311
14.887
15.849
5.601
16.775
11.172
8.401
16.161
18.404
23.973 16.673
14.725 46.605
28.839
52.021
Transcribed Image Text:1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 Price/Book Value Ratio Return on Equity 13.032 1.405 8.305 2.113 6.654 1.239 3.262 2.449 5.291 2.398 7.719 0.353 2.569 7.593 5.104 2.012 4.797 2.182 4.129 1.918 1.549 1.951 5.046 2.417 2.159 3.011 1.725 5.582 4.698 Growth% 6.385 11.846 135.669 12.459 0.073 25.092 14.188 8.804 22.766 38.082 18.985 25.696 24.519 19.666 11.624 22.849 49.965 69.649 36.696 3.819 41.139 9.218 29.108 17.772 25.114 29.295 23.764 31.405 9.497 14.759 18.541 12.026 39.016 14.228 39.439 14.097 27.022 14.841 13.237 20.669 17.311 14.887 15.849 5.601 16.775 11.172 8.401 16.161 18.404 23.973 16.673 14.725 46.605 28.839 52.021
A financial analyst engaged in business valuation obtained financial 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 growth percentage. Use the accompanying data to complete parts a. through e. below.
Click the icon to view the business valuation data.
a. Develop a regression model to predict price-to-book-value ratio based on return on equity.
Ŷ₁ = + X₁i
(Round to four decimal places as needed.)
b. Develop a regression model to predict price-to-book-value ratio based on growth.
Î₁ = + x₂i
(Round to four decimal places as needed.)
c. Develop a regression model to predict price-to-book-value ratio based on return on equity and growth.
Ρ = ■ + ■×₁¡ + ■×₂i
(Round to four decimal places as needed.)
Transcribed Image Text:A financial analyst engaged in business valuation obtained financial 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 growth percentage. Use the accompanying data to complete parts a. through e. below. Click the icon to view the business valuation data. a. Develop a regression model to predict price-to-book-value ratio based on return on equity. Ŷ₁ = + X₁i (Round to four decimal places as needed.) b. Develop a regression model to predict price-to-book-value ratio based on growth. Î₁ = + x₂i (Round to four decimal places as needed.) c. Develop a regression model to predict price-to-book-value ratio based on return on equity and growth. Ρ = ■ + ■×₁¡ + ■×₂i (Round to four decimal places as needed.)
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