Using the gapminder data, 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 at the top six rows