\fPIPA IPA X 14 19 16 52 10 co Options (1 of 2 ) X Simple linear regression results: Dependent Variable. y Independent Variable. x y = 24.329451 - 1.8086522 x Sample size: 10 R (correlation coefficient) = 0.98556904 R-sq = 0.97134634 Estimate of error standard deviation: 1. 7028654 Parameter estimates: Parameter Estimate Std. Err. Alternative DF Intercept 24 320451 19854278 D. 0.109628Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.lens bid ,(9108 19q alerland) iseriw to blaly art bos (asdoni .lib 6. Two different tests are designed to measure employee productivity and dexterity. Several employees are randomly selected and tested with these results. Istnish Dexterity 8. Productivity 14 | 16 | 18 | 11 | 12 | 15 | 16 | 21 | 24 | 27 108 79q elenaud) bigiY 49 52 59 43 45 55 53 62 68 72 a. Find the equation of the regression line for the given data, 4.329451+1. 8086522X Round the regression line values to the nearest hundredths of caulsy bauof y= 24.33+1.81x What would be the predicted dexterity score for an employee with a productivity score of 45? Round the predicted score to the nearest whole number. (Think!) =V nthei feelsen eni of nsom bnis caulay anil noleesiper edi buon c. Is part b a reasonable question? Explain why or why not. foulsv betugmoo fariw noqu beesd esw y to nsam and 10 isd y sen of notelash erT ( INTERGET 0.1. anil nolazerper es supe lesel s:T .e Provide an appropriate response. ine the relationship between the number of miles traveled (in of sales (in thousands of