The data listed below give information for 10 middle-level managers at a particular company. The first column is years of experience [X]and the second column is annual salary (in thousands) [Y. We are going to examine the relationship between salary in thousands [Y and years of experience[X]. Below is the regression output. Manager# (X) SUMMARY ANOVA RESIDUALOUTPUT MS F SignifcanceF 69 1503.75 503.75 xox x000x Regression Statistics Standardized Residuals 23 78 561.25 70.156 Multiple R 0.956 41 R Square 0.789 2.129 19 Xx Adjusted R 0.740 0.567 15 xx Standard Error t Stat Pvalue 1.307 24Xx Standard Error8.376 16.586 7.201 2.303 0.050 1.381 xX 33 Observations 10 Yrs Exp (X) 2.892 0.625 xx0.003 0.417 2.780 10 32 0.962 Questions 1.734 10 What is the correlation (r) between experience and salary? What is the total Sums of Square? What is the expected Salary [in thousands of a manager who has 10 years of experience? Based on the cut-off of 1.5 standard deviations, how many potential outliers are there? What is the calculated value of the t-test statistic for Yrs Exp(X)? According to the least squares line, if the experience increases by 4 years, the Salary should byunits (in thousands).