When designing a study applying simple linear regression, are there advantages/disadvantages for sampling the response to many different levels of a predictor vs. sampling the response to the same number observations when they come from a smaller number of levels? For instance, will there be a difference between sampling the response to a predictor with values {1,2,...,100} vs. the values {1,12,23,...,100}, where each value is repeated 10 times? In both cases, the same range of the predictor will be used.