Question

In: Statistics and Probability

This is for my Quantitative Methods class. Please provide detailed solutions to the following problems/exercise. 1)...

This is for my Quantitative Methods class.

Please provide detailed solutions to the following problems/exercise.

1) An investment analyst collected data about 20 randomly chosen biotechnology companies. The data consisted of the 52-week-high stock prices, price-to-earnings (PE) ratio, and the market value of the company. These data are in the file titled Investment.

a) Produce a regression equation to predict the market value using the 52-week-high stock price and the PE ratio of the company.

b) Determine if the overall model is significant. Use a significance level of 0.05.

c) A biotechnology company in April 2018 had a 52-week-high stock price of 31 and a PE ratio of 19. Estimate its market value for that time period. (Note: Its actual market value for that time period was $1,536).

52WK HI

31

P- E

19

Market Value

1536

71

63

8435

32

23

1294

12

18

1265

24

24

1573

48

18

1529

28

66

7888

36

22

1785

20

32

3386

36

46

4399

33

35

2645

64

21

1420

44

26

1941

50

47

3444

30

19

1678

80

15

1627

34

20

4177

48

9

1538

48

14

1544

52

12

1177

Solutions

Expert Solution


1. Put the values in excel as shown below.


2. We use the regression option under the Data analysis tab.


3. Input the data as shown below.


4. The output will be generated as following


5. We formulate the regression equation using the output (highlighted in green)

Write the reqression equation
Market Value = -977.12+ 11.1996(WK HI)+117.7205(PE)


Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence.

For this we look that pvalue of the Anova. The Pvalue of anova (highlighted in blue)
Since the pvalue is less than 0.05, the model is significant.


Interpret the coefficient for the independent variable.
One unit increase in the WK HI increases the market value by 11.1996
One unit increase in the PE increases the market value by 117.7205

What percentage of the observed variation in housing prices is explained by the model?
Variation explained by the model is given by the Rsquare (highlighted in blue) which 0.8244
Note - Higher the number, better the model is.


A biotechnology company in April 2018 had a 52-week-high stock price of 31 and a PE ratio of 19. Estimate its market value for that time period. (Note: Its actual market value for that time period was $1,536).
Market Value = -977.12+ 11.1996(WK HI)+117.7205(PE) = -977.12+ 11.1996(31)+117.7205(19)=1606.7551


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