MTN Eswatini .ill 11% 09:07 D The 'life expectancy' and levels of pollution in the environment' are moderately, negatively correlated. E. None of the above. 1.12. The linear regression equation is: A. y = 75.872 - 0.3585X B. y = 75.872 + 0.3585X C. Y= 144.3524 - 1.814 X D. Y= 144.3524 + 1.814 X E. None of the above. SECTION B QUESTION TWO [22] A hardware shop recorded its daily turnover for 100 trading days as shown in the table below Daily Turnover Number of days [250, 500) 5 500 , 750) 8 750 ,1000) 11 [1000 , 1250) 30 [1250, 1500) 32 [1500, 1750) 14 TOTAL 10 2.1 Using appropriate computational formulae calculate the: 2.1.1 average daily turnover of the hardware shop. (3) 2.1.2. median daily turnover of the hardware shop. (3) 2.1.3 modal daily turnover of the hardware shop. (3) 2.1.4 standard deviation (6) 2.2. Determine the maximum daily turnover associated with the lowest 25%. (4) 2. 3. what daily turnover separates the highest 25% of turnover days from the rest? (4) UT QUESTION THREE [15] The information on 300 employees of a small manufacturing company on the basis of age and work category is presented in a table below > > Work category Age production Sales office Under 25 50 2 50 25 and under 40 70 24 50 Above 40 40 10 If an employee is selected at random what is the probability that the employee is: 3.1 between 25 and 40 years of age 3.2 a production worker is 3 3 given that he/she is an office worker O