Use a significance level of = 0.05 to test the claim that there is no difference...

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Use a significance level of = 0.05 to test the claim that there is no difference in the annual earnings of the four groups of employees. Question 3 A large industrial enterprise carries out its main production activity in 10 of its divisions (branches). A safety inspector visits each branch of 20 employees every quarter to conduct relevant training. The number of working hours for safety training (X) and the number of working hours lost due to production accidents (Y) are presented in the table for each subsidiary: Branch X Y 1 80 10 2 19 65 3 30 68 4 45 5 50 6 65 49 55 55 35 20 7 80 80 6 8 35 60 9 45 15 70 10 70 70 11 1. To construct a scatter diagram using the X data on the abscissa (horizontal) axis and the Y data on the vertical. 2. To construct a linear regression equation of the form:, = b+bx and checked the statistical significance of the linear coefficient b1. 3. Evaluate the accuracy of the model by coefficient of determination R2. 4. Use the resulting model to predict losses from production accidents with 17 and 75 hours of safety training. Question 4 Data on production (in BGN thousand) by quarter for the period 2017-2022 were extracted from the Use a significance level of = 0.05 to test the claim that there is no difference in the annual earnings of the four groups of employees. Question 3 A large industrial enterprise carries out its main production activity in 10 of its divisions (branches). A safety inspector visits each branch of 20 employees every quarter to conduct relevant training. The number of working hours for safety training (X) and the number of working hours lost due to production accidents (Y) are presented in the table for each subsidiary: Branch X Y 1 80 10 2 19 65 3 30 68 4 45 5 50 6 65 49 55 55 35 20 7 80 80 6 8 35 60 9 45 15 70 10 70 70 11 1. To construct a scatter diagram using the X data on the abscissa (horizontal) axis and the Y data on the vertical. 2. To construct a linear regression equation of the form:, = b+bx and checked the statistical significance of the linear coefficient b1. 3. Evaluate the accuracy of the model by coefficient of determination R2. 4. Use the resulting model to predict losses from production accidents with 17 and 75 hours of safety training. Question 4 Data on production (in BGN thousand) by quarter for the period 2017-2022 were extracted from the