It is true that a multiple linear regression model interprets the slope differently than a simple linear regression model.
The link between two variables is determined through simple linear regression. The slope of a straight line used to represent linear regression indicates how changing one variable impacts another variable.
For the complex relationships between data, multiple linear regression is used. More than one variable may contribute to the explanation of this relationship.
One y-intercept and numerous slopes (one for each variable) make up a multiple regression formula. The formula is understood in the same way as a simple linear regression formula, however more than one variable influences the relationship's slope.
Therefore, the statement is true.
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