why does number of dimensions in an experiment need to be higher than sample size? why is it bad when number of dimensions is larger than sample size? why are dimensions bigger than sample size why does it hurt when the number of dimensions is bigger than the sample size why is it so bad if the sample size is a large size why does it need to be higher than a sample size why is it bad when number of dimensions is higher than sample size why it is bad if number of dimensions is higher than sampling size? why are sample sizes important why it's bad when number of dimensions equals sample size why is it bad if the number of dimensions in a variable is higher than the sample size? why is sample size higher than dimension why is it bad if the number of dimensions in the data is larger than the sample size? why is it bad for the number of dimensions to be higher than sample size? why is it bad if the number of dimensions of the data is higher than the number of samples? why is sample size important to quality data why it's bad when sample size is higher why is the number of dimensions of a data set higher than the size of the sample? why it is bad when the number of dimensions is higher than the number of samples, or when the number of explanatory variables are greater? what's bad if the sample size is higher than the sample dimension