A company is facing a high churn_out_rate this year, and they are trying to find out why. Salary_hike being one of the significant reasons, let us consider a ccompany'sdata where we try to find the relationship between two variables in R.

1. Plot a graph to understand how these variables are related.
2. What is the conclusion based on the graph?
3. Create a linear model and get a graph
4. abline() creates a regression line in the current plot
5. Calculate the predict and the residuals value
6. Draw a segment for the graph in the red color
7. calibrated scales with tick marks on variable vectors in scatterplots and biplots.( use calibrate library)

Salary_hike	Churn_rate
1580	92
1580	85
1580	80
1580	75
1580	72
1580	70
1580	68
1580	65
1580	62
1580	60

1. Explain your interpretation your finding and thoughts on this model