AP Statistics Practice: Transformations to Achieve Linearity Questions7 through g involve the following dots set dining the zou Century Expected Year Life Span LIFE Span 1920 3930 1940 1950 1090 1970 Source: National Center for Health Statistics, published in the 1908 World Amm Make a scatterplot of the untransformed date and tell which kind of relationship the points seem to follow. Also name the best type of transformation ne "straighten" the plot. (3 points) Note: Part of the transform i should involve subtracting 1900 from the year so you're working with more in Now by come transformations to get the date as dose to linger as possible (Use your calculator to transform the data, and try scatterplots of the different transformations). Then find the regression ling s and -: ( pointe) Tell which crimformation worked the best and back it up by showing; A scatterplot of the transformed data with the least squares regression equation and line, F. and required. A plot of the original data with this regramion equation converted to a non-Inger equation ( Nmillar to what you did for questions) ( You'll get a chance to do a residual plot in the next quarttion Here are some hints Look at the curve and think about what kind of relationship (equation) could have macie such a curve (this is what you already did in question ?). Then try the kind of transformation that should work for that kind of curve. (See the Summary of Common Transformevent at the beginning of this document! ) if your first guess doesn't work, try others More than one transformation will yield a good model: choose the one with the strongat young 2 If your transfermation ( the one that weme to work the best) dacan't match your answer for question 7, you may want to revise your answer for comtion ?I AP Statistics Practice: Transformations to Achieve Linearity Type of transformations Ungar regression equation for transformed data Scutterplot of the transformng Plot of this original bate with the roo aquatic (melar to what you did for question s)