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I have a device which obtains velocity based values over a period of 1 minute (average). I also have another device with which I am comparing that device. Now the velocity values can be quite random, but both devices should be similar in terms of increase or decrease within each minute: essentially they should have the same flow.

I saw online that some research has utilized the Pearson correlation to compare these values, but what I'm wondering is why? I read that this correlation only works for linear based values, and from what I read up, the velocities themselves were quite random (although similar in terms of devices). Or at least I don't think they are linear.

(cross posted from: http://math.stackexchange.com/questions/1018355/pearson-correlation-of-acclerometer-values)

I have a device which obtains velocity based values over a period of 1 minute (average). I also have another device with which I am comparing that device. Now the velocity values can be quite random, but both devices should be similar in terms of increase or decrease within each minute: essentially they should have the same flow.

I saw online that some research has utilized the Pearson correlation to compare these values, but what I'm wondering is why? I read that this correlation only works for linear based values, and from what I read up, the velocities themselves were quite random (although similar in terms of devices). Or at least I don't think they are linear.

(cross posted from: http://math.stackexchange.com/questions/1018355/pearson-correlation-of-acclerometer-values)

I have a device which obtains velocity based values over a period of 1 minute (average). I also have another device with which I am comparing that device. Now the velocity values can be quite random, but both devices should be similar in terms of increase or decrease within each minute: essentially they should have the same flow.

I saw online that some research has utilized the Pearson correlation to compare these values, but what I'm wondering is why? I read that this correlation only works for linear based values, and from what I read up, the velocities themselves were quite random (although similar in terms of devices). Or at least I don't think they are linear.

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Nick Cox
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Hi guys so I have a device which obtains velocity based values over a period of 1 minute (average). I also have another onedevice with which I am comparing the differentthat device too, to see if they are similar. Now the velocity values can be quite random, but of both devices they should be similar in terms of increase betweenor decrease within each minute, decrease between them, etc; Essentially: essentially they should have the same flow.

I saw online that some research has utilized the Pearson correlation to compare these values, but what I'm wondering is why? I read that this correlation only works for linear based values, and from what I read up, the velocities themselves wherewere quite random (although similar in terms of devices). Or at least I don't think therethey are linear.

I was wondering if someone was able to help me out on this?

(cross posted from: http://math.stackexchange.com/questions/1018355/pearson-correlation-of-acclerometer-values)

Hi guys so I have a device which obtains velocity based values over a period of 1 minute (average). I also have another one which I am comparing the different device too, to see if they are similar. Now the velocity values can be quite random, but of both devices they should be similar in terms of increase between each minute, decrease between them, etc; Essentially they should have the same flow.

I saw online that some research has utilized the Pearson correlation to compare these values, but what I'm wondering is why? I read that this correlation only works for linear based values, and from what I read up, the velocities themselves where quite random (although similar in terms of devices). Or at least I don't think there linear.

I was wondering if someone was able to help me out on this?

(cross posted from: http://math.stackexchange.com/questions/1018355/pearson-correlation-of-acclerometer-values)

I have a device which obtains velocity based values over a period of 1 minute (average). I also have another device with which I am comparing that device. Now the velocity values can be quite random, but both devices should be similar in terms of increase or decrease within each minute: essentially they should have the same flow.

I saw online that some research has utilized the Pearson correlation to compare these values, but what I'm wondering is why? I read that this correlation only works for linear based values, and from what I read up, the velocities themselves were quite random (although similar in terms of devices). Or at least I don't think they are linear.

(cross posted from: http://math.stackexchange.com/questions/1018355/pearson-correlation-of-acclerometer-values)

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Pearson Correlation of Device Values

Hi guys so I have a device which obtains velocity based values over a period of 1 minute (average). I also have another one which I am comparing the different device too, to see if they are similar. Now the velocity values can be quite random, but of both devices they should be similar in terms of increase between each minute, decrease between them, etc; Essentially they should have the same flow.

I saw online that some research has utilized the Pearson correlation to compare these values, but what I'm wondering is why? I read that this correlation only works for linear based values, and from what I read up, the velocities themselves where quite random (although similar in terms of devices). Or at least I don't think there linear.

I was wondering if someone was able to help me out on this?

(cross posted from: http://math.stackexchange.com/questions/1018355/pearson-correlation-of-acclerometer-values)