Week Nine: Working with Models Using the gapminder data, create a plot comparing log(gdp PerCa with Life Exp and show three different smoothers in three different colors with a legend showing each smoother type. In a paragraph compare and contrast the smoother types. LOESS, Cubic Spline, and OLS Look at the gapminder data with str() Create a linear model of the gapminder data with life expectancy as the target of a multifactor model built from gdpPercap, pop, and continent. Store it in a variable called 'out'. print a summary of out. notice that printing a summary of gapminder will produce different results because summary() knows that out is the output of a linear model. Use min() and max() to get the minimum and maximum values of per capita GDP and create a vector of 100 evenly spaced elements between them while holding population constant at it's median and showing the values by continent using a vector.. use predict() to calculate the fitted values for evey row in the dataframe and show the upper and lower bounds of a 95% confidence interval. Store the result in a variable predi_out. Use cbind() to bind the two data frames together by column. Look