Create a text or csv file using following tranning data, make up names assuming the first column is the predictor and the second column is the target.

1	4
1	7
3	9
3	12
4	11
4	12
5	17
6	13
6	18
7	17

then perform a Spark linear regression using a 'case class' to hold the data read in the case class, make the feature argument a Spark vector, and the label as a Double thus construct a Dataset ( not just a DataFrame) suitable for Spark Linear regression Invoke the Spark Lin regression on your Dataset. Capture the usual parameters for a regression task: SST, SSR, SSE, intercept, regression coeff correlation coef, & r2