The data in the table can be entered into a calculator to determine a linear equation ofbest fit where x represents the number of years with a company and y represents anemployee's salary in dollars.Employee's SalaryYears WithSalary, y($)Company, x142,000243,000344,000446,000556.000658,000765,000868,000971,0001078,000What conclusion can be drawn from the correlation coefficient associated with this linearequation?AFTA. There is a strong negative correlation between the variables.2. There is a strong positive correlation between the variablesC. There is a weak negative correlation between the variables.D. There is a weak positive correlation between the variables.

The table of an employee with a company and his/her salary over the years is given by years with company x Salary y(in $) 1 42000 2 43000 3 44000 4 46000 5 56000 6 58000 7 65000 8 68000 9 71000 10 78000 To find the correlation coefficient between the number of years an employee works and the employee's salary in dollars.Type the given data in the table of a calculator and use the table to find the correlation coefficient. Switch On the calculator TI-83 plus, select the STAT option. Go to option 1 under EDIT and press ENTER. Enter the values of the years in the company in column L1, the salary in column L2. Press 2nd and Home to get back to the Home screen. Press 2nd and 0 to select CATALOG and go to Diagnosticon and press Enter, it shows Diagnosticon on the home screen, press Enter again it will show Diagnostic Done. Then go to STAT, then CALC and choose LinReg(ax+b) and press ENTER. It gives the linear regression line satisfying the given table of data and the correlation coefficient. The equation of the best fit line is given by y=4236.363636x+33800 with the correlation coefficient is equal to r=0.9821552959. It shows there is a strong positive correlation coefficient between the variables, the number of years an employee works in the company X and the employee's salary in dollars. So option B. is the right option.