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Courtney Verdree 
AP Statistics
Introduction 
 . The purpose of this project was to 
determine whether or not the Dow Jones 
Averages would be a good investment 
and to graph the data for interpretation.
Linear Graph
Exponential Graph
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) 
 Y hat= .06234(year)-166
7. Interpret the slope of the line in context. 
 The slope is .06234 , 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 it has positive strong 
correlation between the data and the R2 is 
close to 100%.
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 because 
its showing a much stronger correlation. 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 .9357. this indicates that it’s 
a linear positive relationship and that the 
exponential graph would be the best fit to 
interpret the data.
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. This 
shows a positive association. 
12. Use your model to make a prediction 
about the Dow price in July of 2012. 
 y hat= .06234(2012)-116 
= 9.42808
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. 
 =.06234(2045)-116 
=11.4853 
e^11.4853= 972425.26 
14. What is the equation of the exponential model 
that Microsoft Excel fit to the original data? 
 Y hat=.06234(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? 
 Y hat=.06234(2012)-116 
=9.42808 
e^9.42808=12432.63
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.
 yes, I am not convinced , America has a 
very strong economy and In another 80 
years the government will see many 
more changes, but they can fix it. Yes I 
would invest into the company because 
the exponential graph fits better on the 
line of best fit and its better for your 
money to grow exponentially then 
linearly.

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Linear Regression- An 80-year study of the Dow Jones Industrial Average

  • 1. Courtney Verdree AP Statistics
  • 2. Introduction  . The purpose of this project was to determine whether or not the Dow Jones Averages would be a good investment and to graph the data for interpretation.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 11. 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.
  • 12. 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.
  • 13. 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)  Y hat= .06234(year)-166
  • 14. 7. Interpret the slope of the line in context.  The slope is .06234 , 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 it has positive strong correlation between the data and the R2 is close to 100%.
  • 15. 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 because its showing a much stronger correlation. 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 .9357. this indicates that it’s a linear positive relationship and that the exponential graph would be the best fit to interpret the data.
  • 16. 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. This shows a positive association. 12. Use your model to make a prediction about the Dow price in July of 2012.  y hat= .06234(2012)-116 = 9.42808
  • 17. 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.  =.06234(2045)-116 =11.4853 e^11.4853= 972425.26 14. What is the equation of the exponential model that Microsoft Excel fit to the original data?  Y hat=.06234(year)-116
  • 18. 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?  Y hat=.06234(2012)-116 =9.42808 e^9.42808=12432.63
  • 19. 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.
  • 20. 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.
  • 21.  yes, I am not convinced , America has a very strong economy and In another 80 years the government will see many more changes, but they can fix it. Yes I would invest into the company because the exponential graph fits better on the line of best fit and its better for your money to grow exponentially then linearly.