Exponential regression help and more

In summary, the equation for ABC is y= (.31)(1.28)^x and for XYZ it is y= (.17)(1.17)^x. A and B represent the relationship between x and y in terms of earnings per share. The units for A and B are dollars and years, respectively. When x=0, y is .17 and when x=1, y is .1989. However, this information does nothing to help me understand what these numbers mean in the context of stocks or investments.
  • #1
Pepsi
14
0
Hi I'm doing some homework and I have the main question answered but this added one is hurting me.
Let me give you the entirity of it...
- For each company ABC and XYZ write an exponetial regression equation in the form of a X b^x (Thats A times B to the x), where x = number of yeats and why = EPS (Earnings per share).
So I came up with a expreg using the data provided and got my answers of ABC y= (.31)(1.28)^x
XYZ y= (.17)(1.17)^x
Now What do the values of a and b represent in this context? If someone could throw me a bone that would be great. I'm just not really familar with stocks/investments, like I did the math portion of this but the applying this to investments is tough for me.
 
Last edited:
Physics news on Phys.org
  • #2
Pepsi said:
Hi I'm doing some homework and I have the main question answered but this added one is hurting me.
Let me give you the entirity of it...
- For each company ABC and XYZ write an exponetial regression equation in the form of a X b^x (Thats A times B to the x), where x = number of yeats and why = EPS (Earnings per share).
So I came up with a expreg using the data provided and got my answers of ABC y= (.31)(1.28)^x
XYZ y= (.17)(1.17)^x
Now What do the values of a and b represent in this context? If someone could throw me a bone that would be great. I'm just not really familar with stocks/investments, like I did the math portion of this but the applying this to investments is tough for me.

y is measured in dollars and x is measured in years. What are the units for A and B?
What is y when x is 0? That should tell you what A represents. What is y when x is 1? Together with what you just learned about A, that should tell you what B represents.
 
  • #3
umm when x=0 y is .17, and when x=1 y is .1989 but I fail to see how that explains what A and B represents in context (stock markets and investments atleast I think)
These numbers pose no solution to me at all. Could you give me some more help?
 
Last edited:
  • #4
If x= 0 or 1, what is y in terms of A and B?
What are the units on A and B? Also you haven't told us what data you got the equation from. That should give you a hint.
 
  • #5
Pepsi said:
x = number of yeats and why = EPS (Earnings per share).
Did you mean "x = number of yeaRs and Y = EPS"? I will assume that's what you meant. Think how you'd plot this regression, with x on the horiz. axis and y on the vertical axis. Just make up a plot (it doesn't even have to be the relationship you estimated, something "close" should be okay). Now, how would you explain this plot to someone who has no idea about what you have done?
 

FAQ: Exponential regression help and more

How is exponential regression different from linear regression?

Exponential regression is a type of statistical analysis used to model relationships between variables that exhibit an exponential growth or decay pattern. Unlike linear regression, which assumes a linear relationship between variables, exponential regression assumes a non-linear relationship and uses logarithmic transformations to fit the data.

What is the purpose of using exponential regression?

The purpose of using exponential regression is to model and predict the behavior of data that follows an exponential trend. This can be seen in many real-world scenarios such as population growth, compound interest, and radioactive decay.

How is the exponential regression equation calculated?

The exponential regression equation is calculated by taking the logarithm of the dependent variable and fitting a linear model to the transformed data. This linear model is then used to determine the parameters (slope and intercept) of the exponential regression equation.

What are some common applications of exponential regression?

Exponential regression is commonly used in finance, economics, biology, and other fields where there is a need to model and predict exponential growth or decay. It can also be used in data analysis to identify trends and patterns in data that follow an exponential pattern.

How can I interpret the results of an exponential regression analysis?

The results of an exponential regression analysis include the equation of the fitted curve, the coefficient of determination (R^2) which measures the goodness of fit, and the p-value which indicates the significance of the relationship between the variables. These results can be used to make predictions and draw conclusions about the relationship between the variables being studied.

Similar threads

Replies
13
Views
5K
2
Replies
67
Views
12K
Replies
1
Views
19K
Replies
2
Views
2K
Replies
1
Views
20K
Replies
1
Views
16K
Replies
1
Views
23K
Replies
1
Views
26K
Back
Top