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How do you compare two temperatures?
To compare temperatures we read the temperature and the the larger reading will be the warmer temperature. To calculate the difference between two temperatures subtract the smaller temperature from the larger temperature. In this example, we will compare the temperatures on two different days.
Can the difference between two temperatures be negative?
The difference between two temperatures will always be a positive number. A change will be given as a negative number if the temperature falls, or as a positive number if it rises. Overnight, it fell to minus 2°C.
What is the difference between temperature and thermometer?
Answer: Temperature is the physical quantity which judge the environment whether it is hot or cold , whereas, Thermometer is a device which is associated with temperature i.e., it is a device to measure the temperature whether it is hot or cold .
How to tell the difference between two time series?
I have two sets of time series data (series1 and series2). Each data set has 20 samples for 20 time intervals (one sample per each time interval). I want to see if these two data sets are significantly different.
Is there a good correlation between two series?
If the r is small your conclusion would be that they are weakly related and so no desirable comparisons and a larger value if r would suggest good comparisons s between the two series. The third step where there is good correlation is to test the statistical significance of the r.
Which is better series 1 or Series 2?
I also have the real numbers of population to evaluate my prediction. I have calculated the RMSE for the two series of prediction. The mean RMSE for series2 is less than series1 but I am not sure if it is a sufficient criteria to say that series2 is better prediction than series1.
What kind of regression is used to compare two groups?
If your experiment is more than just a comparison of two groups, Scherbaum et al (2010) have done something similar with 101 regression models, allowing them to show the influence of different factors at different points in time. An alternative, complimentary approach is to use growth curve analysis, otherwise known as a polynomial regression.