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I have a dataset with 15 people. For each person I have the age and a blood measurement. The relation between the age and the blood measurement is linear.

The plot between the two variables looks like this: enter image description here

I would like to make a model in which I can predict the blood measurement given that I know the age. If I have a different dataset and I know the age of those people I can therefore predict their blood measurement.

Can anyone help with that?

Can I use the equation y=ax+b? Would that work for a different population?

user161260
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  • Of course your dataset is awfully small. But if it only an exercise, you could indeed make a linear model. I'm guessing you're using Excel or a similar program to plot the data - I'm sure that there's a functionality to calculate the equation of the line too. Otherwise, you can read this : https://en.wikipedia.org/wiki/Linear_regression – Matti P. Mar 08 '19 at 12:04
  • Also, here is some useful math, if you need to calculate it by hand (you can ignore the latter part of the answer because it doesn't apply to your case): https://math.stackexchange.com/questions/3076868/linear-regression-computation-as-y-ax/3076898#3076898 – Matti P. Mar 08 '19 at 12:13
  • Thanks for your answer. Yes I am using Excel and I am able to calculate the intercept and slope of the linear equation y=ax+b. My question is: If I use that value of intercept (b value) and slope (a value) derived from this dataset can I then substitute the x-values from a different dataset to predict y? – user161260 Mar 08 '19 at 13:13
  • I cannot promise that. But you can try it! BTW, is this a school assignment or what's the purpose of this calculation? Is it actual research, or ... ? – Matti P. Mar 08 '19 at 13:18
  • It is not an actual research given the very small sample size. It is a university assuagement (foundation level) – user161260 Mar 08 '19 at 13:53

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