A simple linear regression model was utilized to show trends in the annual prevalence rate of ACL injuries over time.
What does SLRM stand for?
SLRM stands for Simple Linear Regression Model (econometrics)
This definition appears rarely and is found in the following Acronym Finder categories:
- Science, medicine, engineering, etc.
See other definitions of SLRM
We have 2 other meanings of SLRM in our Acronym Attic
- Samuel Lunenfeld Research Institute (Toronto)
- St. Lawrence River Institute (Canada; environmental sciences)
- Second Language Research in Japan (conference)
- Svensk Land Rover Klubb
- Sex-Linked Recessive Lethal (genetics)
- Sony Legged Robot League
- St Louis Regional Library Network
- Sex-Linked Recessive Lethal Test
- Salt Lake Regional Medical (Center)
- Sex Linked Recessive Mutation (genetics)
- Soft Landing Rubber Mulch (Liverpool, NY)
- State and Local Records Management (Texas State Library)
- St. Luke's Regional Medical Center (Idaho)
- State and Local Records Management Division (Texas State Library)
- Standard Labelled Road Network (Ontario Ministry of Natural Resources; Canada)
- Subtrigeminal Lateral Reticular Nucleus
- Scottish Land Rover Owners Club
- Suffolk Land Rover Owners Club (UK)
- Santa Lucia Regional Occupational Program (California)
- Scholarship Loan Repayment Program
Samples in periodicals archive:
Accuracy of simple linear regression model assumptions Determination of validation method of simple linear regression model: In engineering jobs in what is common is that one-third of data are excluded to validation and two-thirds of data that remain are used for modeling (Witten and Frank 2000).
u] > - 1, it reduces to a simple linear regression model.
The first way uses the standard X-matrix, solves for the regression coefficients, and then shifts the intercept to |Mathematical Expression Omitted~ and recalibrates the X-axis: given that Y = a + bX and |Mathematical Expression Omitted~ substituting, we obtain |Mathematical Expression Omitted~ |Mathematical Expression Omitted~ The second way modifies the standard X-matrix by subtracting |Mathematical Expression Omitted~ from all X values and solves for the regression equation: then |Mathematical Expression Omitted~ and because |Mathematical Expression Omitted~ substituting, we obtain |Mathematical Expression Omitted~ The procedures for converting a simple linear regression model to an adjustment-based approach extend directly to multiple linear regression.