A regression analysis was performed... The regression equation is y = 200.6 + 36.5x Which interpretation of this regression model is appropriate?
An increase of 1 in the classroom size is associated with an increase in cost of $36.50.
The regression equation y = 200.6 + 36.5x indicates that for each additional unit increase in classroom size (x), the cost (y) increases by $36.50. This reflects the slope of the regression line, representing the change in the dependent variable for each unit change in the independent variable.
This interpretation is accurate as it correctly describes the slope of the regression equation. The coefficient of x in the equation (36.5) quantifies how much y (the cost) changes for each unit increase in x (the classroom size).
This choice misinterprets the regression equation. The value $200.60 is the y-intercept, representing the estimated cost when the classroom size is zero, not the change in cost per unit increase in classroom size.
This statement incorrectly reverses the relationship between classroom size and cost. It suggests a change in classroom size of 36.5 units results in only a $1.00 increase in cost, which contradicts the slope of the regression equation.
This interpretation also misrepresents the regression model. The figure $200.60 is the y-intercept and does not represent any change in classroom size; it inaccurately implies a minuscule increase in cost relative to a significant increase in classroom size.
The regression model provides a clear relationship between classroom size and cost, with the slope indicating that each unit increase in classroom size leads to a $36.50 increase in cost. Misinterpretations of the regression coefficients, including confusing the y-intercept with the slope, can lead to incorrect conclusions about the data's implications. Understanding these distinctions is essential for accurate analysis and application of regression results.
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