The dataset \"SoilMoisture.csv\" is soil moisture measurements taken on May 5, 1996 at a location in Australia. It also contains the geographical location (xGrid, yGrid), elevation and slope. Import this data into R. Make a plot with Slope on the vertical axis and Elevation on the horizontal axis. Give this plot the title \"Slope vs. Elevation\". Does this plot look how you expected it to look? Have R estimate a linear model where SoilMoisture is the response variable and Slope is the predictor variable. Make a plot of this data with the regression line going through it. Write out the equation of this line. Finally, report the Rsquared statistic (R calls this \"multiple R-squared\") for this model. Do everything you did in part b. but using Elevation as the predictor variable. Compare the results in parts b. and c. Which variable does a better job of predicting SoilMoisture Slope or Elevation? Have R estimate a linear regression model with SoilMoisture as the response variable and Slope and Elevation are both predictor variables. Write out the equation of the regression line and report the R-squared statistic. Compare the coefcients (aka. the slopes) for Slope and Elevation in this model to the ones in parts b. and c. Did either of them change by much