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LINEAR REGRESSION – AN 80- 
YEAR STUDY OF THE DOW 
JONES INDUSTRIAL AVERAGE 
Courtney Verdree 
AP Statistics
Power Graph
1. Describe the association between “DJIA price” 
and “Years Since 1930”. 
 The association between the price and the 
years since is a positive linear correlation. 
2. What is the equation for your linear model? (Use 
descriptive variables) 
 Dow Price = 125.3(years)-2.4425x10^05 
3. Interpret the slope of the line in context. 
 The slope of my line is 125.3x the year. The 
slope is fairly steep.
4. Does the y-intercept of your model have a 
meaningful interpretation or is it just a 
hypothetical base value? Explain. 
 Yes, because the y-intercept tells us what y is 
when X equals 0.
5. Look at the residuals plot for your linear model. 
Do you have any concerns about predictions made 
by your model? Explain. 
 No because the graphs look similar, the only 
difference is the directions change , one is 
positive and one is negative. 
6. What is the equation of your new model? (Use 
descriptive variables) 
 Transformation Dow price=0.02707(year)- 
50.38 0.02707-slope,year-x,-50.38-y-intercept
7. Interpret the slope of the line in context. 
 The slope is 0.2707 which describes the 
movement in the line for every x and y value. 
8. This time, does the y-intercept of your model 
have a meaningful interpretation? Explain 
 Yes because its positive .
9. The residuals plot for your transformed model 
still doesn’t look perfect, but has it improved? 
How do you feel about the appropriateness of 
your new model? 
 Yes the residual plots has improved. It is 
appropriate for my new model. 
10. What is the correlation for your transformed 
data? What does this indicate about the 
association? 
 The correlation is 0.97 and there is a strong 
positive association.
11. What is R2 for your transformed data? 
Interpret this value in context. 
 R2 for my transformed data is 0.94 and it 
explains that 94% of the variation in y is 
determined by the variation in x. 
12. Use your model to make a prediction about 
the Dow price in July of 2012. 
 The predicted Dow price is 252101.1575
13. You will most likely retire some time between 
2040 and 2050. What does your model predict for 
the Dow price in 2045? Comment on the 
appropriateness of this prediction. 
 The predicted Dow price for 2045 is 
256236.0575 . The prediction Dow Price is 
appropriate. 
14. What is the equation of the exponential model 
that Microsoft Excel fit to the original data? 
 ln-price=0.062349(year)-116
15. Use the exponential model to make a 
prediction about the Dow price in 2012. Compare 
it to the prediction made by your model. Are they 
close? 
 The prediction value is 9.446188 and comparing 
the prediction made by my model, they are not 
close.
16. Calculate the y-intercept of your model and 
the y-intercept of the exponential model. Are they 
close? Are these predictions lower or higher than 
the actual Dow price on that date? 
 Original model is -2.44e, the y-intercept for 
the exponential model -116. The predictions 
for the exponential model is lower than the 
original model.
17. Recently, concerns about the U.S. economy, unemployment 
rate, national debt, foreign relations, the world economy, 
financial troubles in countries like Greece and China, climate 
change, and population expansion, among others have led many 
to question whether common stocks will continue to grow at 10- 
12% as we move into the future. Soon, you will have finished 
college, secured a position in a fulfilling career, and started 
earning a rewarding salary. You, too, will have to make decisions 
about the best way to invest your hard earned money in order to 
insure that you have a healthy nest egg to retire on. You’ve just 
studied the trend of the broader market over an 80-year period 
that included numerous wars, periods of political unrest, 
economic recessions, energy crises, population shifts, and 
corporate scandals (just to name a few). So, are you convinced? 
How do you feel about the strength of this trend? Will the market 
continue to reward you the way it rewarded long-term investors 
of the previous century? Or, will these new troubling 
developments send you seeking other methods of investment? 
Explain.
 No , I am not convinced , America has a very 
strong economy but there will be many more 
changes and many more problems with the 
economy. The stock market growth is 
uncertain because at any day and at any given 
time , there could be a major crisis in our 
world. By studying Dow prices 80 year period, 
the markets kept rising and falling . So the 
market will not continue to reward me the 
way it rewarded long term investors.

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Linear Regression - an 80 year study of the Dow Jones industrial average

  • 1. LINEAR REGRESSION – AN 80- YEAR STUDY OF THE DOW JONES INDUSTRIAL AVERAGE Courtney Verdree AP Statistics
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 10. 1. Describe the association between “DJIA price” and “Years Since 1930”.  The association between the price and the years since is a positive linear correlation. 2. What is the equation for your linear model? (Use descriptive variables)  Dow Price = 125.3(years)-2.4425x10^05 3. Interpret the slope of the line in context.  The slope of my line is 125.3x the year. The slope is fairly steep.
  • 11. 4. Does the y-intercept of your model have a meaningful interpretation or is it just a hypothetical base value? Explain.  Yes, because the y-intercept tells us what y is when X equals 0.
  • 12. 5. Look at the residuals plot for your linear model. Do you have any concerns about predictions made by your model? Explain.  No because the graphs look similar, the only difference is the directions change , one is positive and one is negative. 6. What is the equation of your new model? (Use descriptive variables)  Transformation Dow price=0.02707(year)- 50.38 0.02707-slope,year-x,-50.38-y-intercept
  • 13. 7. Interpret the slope of the line in context.  The slope is 0.2707 which describes the movement in the line for every x and y value. 8. This time, does the y-intercept of your model have a meaningful interpretation? Explain  Yes because its positive .
  • 14. 9. The residuals plot for your transformed model still doesn’t look perfect, but has it improved? How do you feel about the appropriateness of your new model?  Yes the residual plots has improved. It is appropriate for my new model. 10. What is the correlation for your transformed data? What does this indicate about the association?  The correlation is 0.97 and there is a strong positive association.
  • 15. 11. What is R2 for your transformed data? Interpret this value in context.  R2 for my transformed data is 0.94 and it explains that 94% of the variation in y is determined by the variation in x. 12. Use your model to make a prediction about the Dow price in July of 2012.  The predicted Dow price is 252101.1575
  • 16. 13. You will most likely retire some time between 2040 and 2050. What does your model predict for the Dow price in 2045? Comment on the appropriateness of this prediction.  The predicted Dow price for 2045 is 256236.0575 . The prediction Dow Price is appropriate. 14. What is the equation of the exponential model that Microsoft Excel fit to the original data?  ln-price=0.062349(year)-116
  • 17. 15. Use the exponential model to make a prediction about the Dow price in 2012. Compare it to the prediction made by your model. Are they close?  The prediction value is 9.446188 and comparing the prediction made by my model, they are not close.
  • 18. 16. Calculate the y-intercept of your model and the y-intercept of the exponential model. Are they close? Are these predictions lower or higher than the actual Dow price on that date?  Original model is -2.44e, the y-intercept for the exponential model -116. The predictions for the exponential model is lower than the original model.
  • 19. 17. Recently, concerns about the U.S. economy, unemployment rate, national debt, foreign relations, the world economy, financial troubles in countries like Greece and China, climate change, and population expansion, among others have led many to question whether common stocks will continue to grow at 10- 12% as we move into the future. Soon, you will have finished college, secured a position in a fulfilling career, and started earning a rewarding salary. You, too, will have to make decisions about the best way to invest your hard earned money in order to insure that you have a healthy nest egg to retire on. You’ve just studied the trend of the broader market over an 80-year period that included numerous wars, periods of political unrest, economic recessions, energy crises, population shifts, and corporate scandals (just to name a few). So, are you convinced? How do you feel about the strength of this trend? Will the market continue to reward you the way it rewarded long-term investors of the previous century? Or, will these new troubling developments send you seeking other methods of investment? Explain.
  • 20.  No , I am not convinced , America has a very strong economy but there will be many more changes and many more problems with the economy. The stock market growth is uncertain because at any day and at any given time , there could be a major crisis in our world. By studying Dow prices 80 year period, the markets kept rising and falling . So the market will not continue to reward me the way it rewarded long term investors.