please check the correct answers: 1/The reciprocal transformation is commonly applied to rates, such
please check the correct answers: 1/The reciprocal transformation is commonly applied to rates, such as miles per gallon or dollars per square foot. Choose the correct answer below. a.The statement is true. b.The statement is false. A logarithm transformation is more common for rate like variables. c.The statement is false. The shape of the scatterplot for using a rate like variable and the shape of the scatterplot using its reciprocal are always mirror images, so the transformation cannot remove a curve like trend. d.The statement is false. A reciprocal transformation should never be used with a rate because it changes the relationships among the units in the problem. 2/Transformations in a regression affect the R2 of the fitted model. Choose the correct answer below. a.The statement is false. The R2 is not affected by a transformation because a fitted model cannot have an R2. Only linear fitted models can have an R2. b.The statement is false. The R2 is not affected by a transformation because the variable must be transformed back before the R2 can be calculated. c.The statement is false. The R2 is not affected by a transformation because both the dependent and independent variables are both transformed in the same way. d.The statement is true. 3/A regression of the log of price on the rating was fitted. Does this model provide a better description of the pattern in the data? Estimated log(Price) = -11.68 + 0.17 Rating. Can you rely on summary statistics like R2 and SE of the regression line when making comparisons between the models (e.g. Estimated Price = – 765 + 9.05 Ratings vs. Estimated log(Price) = -11.68 + 0.17 Rating)? a.Since the responses differ, SE of the regression line can be relied on but not R2. b.Since the responses differ, R2 can be relied on but not SE of the regression line. c.Summary statistics like R2 and SE of the regression line cannot be relied on because the responses differ. d.Summary statistics like R2 and SE of the regression line can be relied on because the responses differ. Apr 06 2022 12:57 PM
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