I have data on Peak Power of 197 participants. The values are entirely different for each case. When i am running linearity test in SPSS, I am getting a footnote that "Too few cases, statistics for DV*Peakpower cannot be computed. Obviously no two individuals exactly matches on physiological performance. Same problem with average power. What can be done in such cases. Data transformation is no help.
Are you sure that both variables are recognized as numerical? As long as both variables are numerical, there is no need of certain values reoccuring among participants. The linearity test checks whether the relation between those two variables is linear.
Dear Sujit Verma,
As you indicated, the results reveal the non-linear relationship between the variables. As Sven Greving indicated linearity test is to test the linear relationship between the variables.
However, if you need to test for the linearity between the variables, just copy the same date and paste it below the data you have. Now you may have 197*2 =394 row of data. Now, you can test for the linearity of the variables. Only the thing that you have to check whether the variances/standard deviations for the data sets of 197 and 394 rows are approximating.
Hope this may help you. Good luck with your studies.
Regards,
S. Senthilnathan.
Dear Sven at the outset thanks for your interest in my question. Yes, both variables are selected as 'Scale' and indeed scale. I tried Residuals Scatter Plot (Hair et al., 2018) via simple regression.
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