Applied Regression Modeling

Consider the following data:

X	1.2	1.7	1.2	5.0	2.0	1.0	3.3	10.0	5.0	2.0
Y	1.0	0.4	0.6	0.4	0.4	0.9	0.2	0.2	0.1	0.5

Use statistical software to fit a simple linear regression model with response variable, Y, and predictor variable, X (call this model 1). Then fit another simple linear regression model with response variable, Y, and predictor variable, 1/X (call this model 2). Use the fitted models to answer the following questions.

Model 2 with predictor variable, 1/X, provides a more useful description of the association between Y and X than that of model 1 with predictor variable, X, because:

Model 2 provides a more useful description of the association between Y and X than that of model 1 because:

Model 2 provides a more useful description of the association between Y and X than that of model 1 because:

Since the slope estimate in model 2 is positive, then:

True or false? Model 2 is a linear regression model even though the reciprocal transformation is non-linear.