A company manager is interested analyzing the relationship between years of working experience and the salary of their employees. He has collected the data from 30 employees of their years of experience and the salary. Here is the dataDownload data

Make sure to include all outputs in relevant subparts of the problem.

1. Create a scatterplot.Does a linear model seem appropriate?
2. Use Minitab to estimate the regression model and store the residual values. Do the residuals support the assumption of normality?
3. What is the equation of least squares regression line?
4. Interpret the slope and the intercept in the context of the problem
5. What is the estimated error variance?
6. What is the standard error of the estimated slope of the regression line?
7. Calculate a 95% confidence interval for the slope
8. Calculate a 95% confidence interval for the mean salary when years of experience is 4 years and provide an interpretation of this interval.
9. What would be a proper interpretation of the R-squared value as it relates to this problem?
10. What is the correlation between x and y? Use the numerical value in part 9 to get the correlation.

NOTE: Data Source is Kaggle