Define the regression variables from the table as follows: Y: Price-to-Book Value Ratio X1:Return on Equity a. Deve
Posted: Mon Nov 15, 2021 9:53 am
Define the regression variables from the table
as follows:
Y: Price-to-Book Value Ratio
X1:Return on Equity
a. Develop a regression model to
predict price-to-book-value ratio based on return on
equity.
b. Develop a regression model to
predict price-to-book-value ratio based on growth.
c. Develop a regression model to
predict price-to-book-value ratio based on both return on
equity and growth.
Compute and interpret the adjusted r^2 for each of the three
models above.
d.Tha adjusted r^2 for part a model
e.The adjusted r^2 for part b model
f.The adjusted r^2 for part c model
g. Which of these three models do you think is the best
predictor of price-to-book-value ratio?
Price/Book Value Ratio 1.525 22.819 8.271 2.058 6.466 1.271 3.274 2.394 5.318 2.384 7.623 0.391 2.597 7.676 5.224 2.022 4.769 2000 2.089 4.165 29.136 1.917 1.467 2.001 4.897 A 907 2.279 ארוך 46.438 2.121 ---- 2.938 1.752 5.567 4.709 2.537 1.778 8.424 0.112 2.237 2.239 2.939 2.937 7.511 131 3.371 3.31 2.784 2.456 2.1939 1.134 4.13 2.952 10.307 10.307 2.063 1.598 1:30 2.034 2.03 7.194 1:13 1.316 1.310 5.694 6.549 2.548 2:30 3:30 3.364 0.933 6.955 13.656 13.65b 4.145 7.162 6.196 - 1.116 20 9.308 e 1.256 Le 1.015 3.876 3.659 2.134 - 10.189 4.214 od 8.556 1.971 4.005 2.323 2.954 4.402 4.955 2.174 Return on Equity Growth % 12.997 6.541 11.922 135.586 12.375 0.109 25.098 14.115 8.714 22.796 0.114 22.10 38.018 19.078 25.648 24.646 19.691 11.688 49.896 10 Ons - 69.771 36.774 3.746 41.131 9.183 28.873 52.054 17.801 25.095 29.316 23:33 23.934 31.411 9.587 14.858 18.549 11.903 20 132 14.173 39.378 14.112 27.114 14.904 13.252 20.627 17.266 14.812 15.984 5.548 3:31 16.822 20.024 11.192 8.294 16.134 18.315 23.897 16.793 14.631 6.275 34.018 18.966 8.486 33.000 39.008 15.057 15.226 25.087 13.00 19.684 0.333 0.355 18.445 3.186 3.100 20.573 3.300 9.508 34.608 . 7.156 15.588 9.491 3.13 10.318 9.00 4.809 23.616 4.031 11.05 91.571 13.281 1.574 . 15.837 5.691 9.334 3:33 19.354 0.069 19:35 4.947 102 706 11:31 102.706 42.701 1.639 90.769 73.992 90.709 13:592 19.405 9.016 9.016 27.412 34 527 14:32 34.527 12.122 12.967 12.90 12.122 24.559 11.514 81.954 24.497 01:33 24.197 1.426 20.244 co 20.244 3.303 3.563 22.301 22.301 31.627 49.923 a 2014- 5.034 13,258 e. 47.818 61.183 W.102 13.449 10.861 10.00 35.936 9.058 - 28.602 71.177 18.024 51.766 ---- 14.027 16.909 . ---- 133.107 171.339 14 21.919 8.586 --- 11.284 247.729 --- 1.12 17.217 10.792 . 10.132 19.402 6.452 8.597 24.586 18.494 14.252) 21.605 5.8941 49.465 31.452) 19.397 3.859 שייכים
as follows:
Y: Price-to-Book Value Ratio
X1:Return on Equity
- Define The Regression Variables From The Table As Follows Y Price To Book Value Ratio X1 Return On Equity A Deve 1 (49.46 KiB) Viewed 104 times
predict price-to-book-value ratio based on return on
equity.
b. Develop a regression model to
predict price-to-book-value ratio based on growth.
c. Develop a regression model to
predict price-to-book-value ratio based on both return on
equity and growth.
Compute and interpret the adjusted r^2 for each of the three
models above.
d.Tha adjusted r^2 for part a model
e.The adjusted r^2 for part b model
f.The adjusted r^2 for part c model
g. Which of these three models do you think is the best
predictor of price-to-book-value ratio?
Price/Book Value Ratio 1.525 22.819 8.271 2.058 6.466 1.271 3.274 2.394 5.318 2.384 7.623 0.391 2.597 7.676 5.224 2.022 4.769 2000 2.089 4.165 29.136 1.917 1.467 2.001 4.897 A 907 2.279 ארוך 46.438 2.121 ---- 2.938 1.752 5.567 4.709 2.537 1.778 8.424 0.112 2.237 2.239 2.939 2.937 7.511 131 3.371 3.31 2.784 2.456 2.1939 1.134 4.13 2.952 10.307 10.307 2.063 1.598 1:30 2.034 2.03 7.194 1:13 1.316 1.310 5.694 6.549 2.548 2:30 3:30 3.364 0.933 6.955 13.656 13.65b 4.145 7.162 6.196 - 1.116 20 9.308 e 1.256 Le 1.015 3.876 3.659 2.134 - 10.189 4.214 od 8.556 1.971 4.005 2.323 2.954 4.402 4.955 2.174 Return on Equity Growth % 12.997 6.541 11.922 135.586 12.375 0.109 25.098 14.115 8.714 22.796 0.114 22.10 38.018 19.078 25.648 24.646 19.691 11.688 49.896 10 Ons - 69.771 36.774 3.746 41.131 9.183 28.873 52.054 17.801 25.095 29.316 23:33 23.934 31.411 9.587 14.858 18.549 11.903 20 132 14.173 39.378 14.112 27.114 14.904 13.252 20.627 17.266 14.812 15.984 5.548 3:31 16.822 20.024 11.192 8.294 16.134 18.315 23.897 16.793 14.631 6.275 34.018 18.966 8.486 33.000 39.008 15.057 15.226 25.087 13.00 19.684 0.333 0.355 18.445 3.186 3.100 20.573 3.300 9.508 34.608 . 7.156 15.588 9.491 3.13 10.318 9.00 4.809 23.616 4.031 11.05 91.571 13.281 1.574 . 15.837 5.691 9.334 3:33 19.354 0.069 19:35 4.947 102 706 11:31 102.706 42.701 1.639 90.769 73.992 90.709 13:592 19.405 9.016 9.016 27.412 34 527 14:32 34.527 12.122 12.967 12.90 12.122 24.559 11.514 81.954 24.497 01:33 24.197 1.426 20.244 co 20.244 3.303 3.563 22.301 22.301 31.627 49.923 a 2014- 5.034 13,258 e. 47.818 61.183 W.102 13.449 10.861 10.00 35.936 9.058 - 28.602 71.177 18.024 51.766 ---- 14.027 16.909 . ---- 133.107 171.339 14 21.919 8.586 --- 11.284 247.729 --- 1.12 17.217 10.792 . 10.132 19.402 6.452 8.597 24.586 18.494 14.252) 21.605 5.8941 49.465 31.452) 19.397 3.859 שייכים