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Linear regression is a statistical method used to describe the relationship between two variables by fitting a straight line through observed data points. Typically, one variable is treated as the explanatory variable (x) and the other as the response variable (y). The goal is to find the line that best represents how changes in the explanatory variable are associated with changes in the response variable. This line is often written in the form y = mx b, where m represents the slope of the line
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You do not need more than two hard sets per muscle in a session. The most recent meta regression on per-session volume shows a sharp decline in returns after two sets. Yes, the analysis is based on strength data, but strength and hypertrophy are closely related. Increases in maximal force output are difficult to explain without corresponding increases in contractile tissue. This cannot simply be attributed to neural adaptations when examining maximal isometric contractions, where coordination an
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