Hi,
Can anyone help me with a regression problem, I am doing energy species hypothesis ...
I have calculated data and from f value of 22.39 have found the sq root of 4.73.
4.73 is significant at 1%
c = f (x) = 0x + 2.2 ( not sure what this output means)
I am trying to use the data to determine species number at given points south to north.
Using the straight line equation
y = mx + c
I cannot draw comparison all the figures are way out !
Am I right in the following
y = (4.73 x 200000) + 2.2 = 946002.2
I do not understand where I am going wrong can anyone please help...
Thank you !
Assistance needed.
All I can tell you is:
> value of 22.39 have found the sq root of 4.73.
The square root is correct.
> y = (4.73 x 200000) + 2.2 = 946002.2
is also correct.
> c = f (x) = 0x + 2.2 ( not sure what this output means)
Neither do I, output from what program?
What is c, what is f(x)?
I am sorry but I do not know where your numbers are coming from, what equations you used, and what you are trying to do.
A detailed question takes 10 more minutes to write-up, but you will get your answer sooner!
Or, hope someone else can better help you!
It seems like you are trying to use a linear regression model to predict the number of species at different locations based on the given data. However, there are some issues with your approach. Let's go through each step to understand where you might be going wrong.
1. F-value and square root: You mentioned that you have calculated an F-value of 22.39 and found the square root of 4.73. It's not clear how these calculations are related to your regression problem or the number of species. The F-value is typically used in statistical analyses to assess the significance of the overall regression model, but it's not clear how it applies to your specific scenario.
2. Significance: You mentioned that the square root of 4.73 is significant at 1%. It's important to note that the significance level refers to the level at which you reject the null hypothesis, and it may not directly relate to the number of species or the linear regression model.
3. Equation: You provided the equation c = f (x) = 0x + 2.2. In this equation, c represents the dependent variable, f(x) represents the function or value of c based on x, and 0x represents the coefficient of x, which is zero in this case. So, essentially, this equation suggests that the value of c is a constant 2.2, independent of the value of x. Again, it's not clear how this equation relates to the number of species or your regression problem.
4. Straight line equation: You mentioned that you are using the equation y = mx + c to predict the number of species. However, you haven't provided the values for m (the slope) and c (the y-intercept). Without these values, it's not possible to accurately predict the number of species at different locations.
To help you further, please provide more information about your dataset, including the variables, their values for different locations, and any other relevant details. Additionally, clarify whether you have any specific guidelines or methodologies to follow for your regression problem.