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Population linear model


Linear Regression Computation as $y = ax$Population Dynamics modelMeasuring Model BiasModeling 4 people going to same place over 3 different places for at least 5 daysI need to model a population where every component have a fixed life span.Minimize correlation between input and output of a linear systemCompetitive Population MovementPopulation growth model with fishing term (logistic differential equation)Pearson increase while Spearman decrease, what does it means?Formulating a linear difference equation model and some MatLab tipsAnalyzing a population governed by a nonlinear difference equation and matlab (Hassel's model)













0












$begingroup$


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?










share|cite|improve this question









$endgroup$











  • $begingroup$
    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 : en.wikipedia.org/wiki/Linear_regression
    $endgroup$
    – Matti P.
    16 hours ago










  • $begingroup$
    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): math.stackexchange.com/questions/3076868/…
    $endgroup$
    – Matti P.
    16 hours ago










  • $begingroup$
    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?
    $endgroup$
    – user161260
    15 hours ago










  • $begingroup$
    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 ... ?
    $endgroup$
    – Matti P.
    15 hours ago










  • $begingroup$
    It is not an actual research given the very small sample size. It is a university assuagement (foundation level)
    $endgroup$
    – user161260
    14 hours ago















0












$begingroup$


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?










share|cite|improve this question









$endgroup$











  • $begingroup$
    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 : en.wikipedia.org/wiki/Linear_regression
    $endgroup$
    – Matti P.
    16 hours ago










  • $begingroup$
    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): math.stackexchange.com/questions/3076868/…
    $endgroup$
    – Matti P.
    16 hours ago










  • $begingroup$
    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?
    $endgroup$
    – user161260
    15 hours ago










  • $begingroup$
    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 ... ?
    $endgroup$
    – Matti P.
    15 hours ago










  • $begingroup$
    It is not an actual research given the very small sample size. It is a university assuagement (foundation level)
    $endgroup$
    – user161260
    14 hours ago













0












0








0





$begingroup$


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?










share|cite|improve this question









$endgroup$




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?







mathematical-modeling correlation






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked 16 hours ago









user161260user161260

6217




6217











  • $begingroup$
    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 : en.wikipedia.org/wiki/Linear_regression
    $endgroup$
    – Matti P.
    16 hours ago










  • $begingroup$
    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): math.stackexchange.com/questions/3076868/…
    $endgroup$
    – Matti P.
    16 hours ago










  • $begingroup$
    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?
    $endgroup$
    – user161260
    15 hours ago










  • $begingroup$
    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 ... ?
    $endgroup$
    – Matti P.
    15 hours ago










  • $begingroup$
    It is not an actual research given the very small sample size. It is a university assuagement (foundation level)
    $endgroup$
    – user161260
    14 hours ago
















  • $begingroup$
    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 : en.wikipedia.org/wiki/Linear_regression
    $endgroup$
    – Matti P.
    16 hours ago










  • $begingroup$
    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): math.stackexchange.com/questions/3076868/…
    $endgroup$
    – Matti P.
    16 hours ago










  • $begingroup$
    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?
    $endgroup$
    – user161260
    15 hours ago










  • $begingroup$
    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 ... ?
    $endgroup$
    – Matti P.
    15 hours ago










  • $begingroup$
    It is not an actual research given the very small sample size. It is a university assuagement (foundation level)
    $endgroup$
    – user161260
    14 hours ago















$begingroup$
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 : en.wikipedia.org/wiki/Linear_regression
$endgroup$
– Matti P.
16 hours ago




$begingroup$
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 : en.wikipedia.org/wiki/Linear_regression
$endgroup$
– Matti P.
16 hours ago












$begingroup$
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): math.stackexchange.com/questions/3076868/…
$endgroup$
– Matti P.
16 hours ago




$begingroup$
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): math.stackexchange.com/questions/3076868/…
$endgroup$
– Matti P.
16 hours ago












$begingroup$
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?
$endgroup$
– user161260
15 hours ago




$begingroup$
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?
$endgroup$
– user161260
15 hours ago












$begingroup$
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 ... ?
$endgroup$
– Matti P.
15 hours ago




$begingroup$
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 ... ?
$endgroup$
– Matti P.
15 hours ago












$begingroup$
It is not an actual research given the very small sample size. It is a university assuagement (foundation level)
$endgroup$
– user161260
14 hours ago




$begingroup$
It is not an actual research given the very small sample size. It is a university assuagement (foundation level)
$endgroup$
– user161260
14 hours ago










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