Hi I need help with 1-4

A manager is concerned that overtime (measured in hours) is contributing to more sickness (measured in sick days) among the employees. Data records for 20 employees were sampled with the following results shown on the Minitab output shown here: S = R-Sq = Analysis of Variance Source DF SS MS F P-value Regression 91 . 276 0 . 001 Residual Error 98. 474 Total 189 . 750 Fits and Diagnostics for All Observations Row Overtime Sickdays Fit Resid Std Fitted Line Plot Resid Sickdays = 2.707 + 0.04249 Overtime 1 5 3 2. 920 0. 080 14 0 . 04 2 21 2 3. 600 -1. 600 -0.72 10 3 25 3. 770 0. 230 0. 10 4 28 3. 897 -2.897 Sickday 8 6 -1. 30 35 10 4. 195 5. 805 2 . 58 6 35 6 1. 195 1. 805 0 . 80 7 39 4. 365 0. 635 0 . 28 50 100 150 200 8 39 W 4.365 -1.365 Overtime -0 . 61 9 43 4. 535 -1.535 -0. 68 LO 48 4. 747 -0.747 -0.33 11 5. 045 -0. 045 -0. 02 12 55 59 6 5. 215 0. 785 0. 35 13 67 5 . 555 -1. 555 -0. 68 14 82 6. 192 1. 808 0 . 79 16 113 122 11 JD JOO DUUAW 7.509 3. 491 1 . 56 -1. 75 17 135 7. 892 -3.892 8 . 444 -1. 444 -0. 66 18 19 143 8 . 784 -1. 784 -0.83 155 9. 294 -0. 294 -0.14 20 183 13 10 -J 10. 484 2.516 1. 281. Identify the explanatory (Independent) Variable include units. 2. Identify the response (dependent) variable include units. 3. Find the least square line where Sick Days is dependent on Overtime. Interpret the slope using the appropriate units 4. Test the hypothesis that the regression model is signicant (o = .10) Show all steps. Fill in the missing values on the ANOVA table