The data samples x and y for question 2 are unequal. Here, we have more y points than x points. How do I go about solving that?

I just need help with the calculations. Once I know how to do the calculations I can just translate that into java code.

 

For linear regression you need a y value for every x value.
You have 26 x and 26 y so you do have equal numbers.

 

For linear regression you need a y value for every x value.
You have 26 x and 26 y so you do have equal numbers.

Sorry, I though that question 2 was different. For some reason the physical length of the sample data for x and y made it seem like y had more sample data.

Also, Is it necessary to figure out the standard error or could I leave that out?

 

That depends on what you’re doing. If you need to know confidence intervals, significance versus another sample and so on, you need the SE.

 

The data samples x and y for question 2 are unequal. Here, we have more y points than x points. How do I go about solving that?

I just need help with the calculations. Once I know how to do the calculations I can just translate that into java code.

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Hi,

A couple questions.

First, do you have any idea how to do this? That would help define a path to the solution fo us here reading this. The solution to these kinds of very broad questions often depends on what you have done in the past as you are expected to continue with that method(s).

Second, are you to use a least squares fit?

Third, are you to treat that greek letter variable 'epsilon' as the noise?