ONDOOoO-ONDOO Illluuuulli N22222222222222222222 ... LO 37 male 29.83 37 female 27.74 2 no 3 no 37 male 28.025 2 no 37 female 23.37 2 no 37 male 29.64 0 no 37 female 30.8 2 no 37 female 34.8 2 yes 37 male 30.8 36 male 41.895 0 no 3 yes 36 male 35.2 1 yes 36 male 34.43 0 yes 36 female 26.2 0 no 35 male 36.67 1 yes 35 male 34.77 2 no 35 male 24.13 1 no 35 female 34.8 1 no northeast 6406.411 3862524 northeast 7281.506 3432135 northeast 6203.902 3136398 northwest 6686.431 4600619 northwest 5028.147 3567349 southeast 6313.759 3851709 southwest 39836.52 3956664 southwest 4646.759 2348829 northeast 43753.34 4090046 southeast 38709.18 1183287 southeast 37742.58 3212151 southwest 4883.866 3012548 northeast 39774.28 983794 northwest 5729.005 4229672 northwest 5125.216 4936580 southwest 5246.047 4625795 36092173 4 7 3 0 7 6 4 4 34 female 31.92 1 yes 34 male 22.42 2 no northeast 37701.88 4644516 northeast 4 34 female 37.335 2 no 34 male 25.3 2 yes 27375.9 4930776 northwest 5989.524 2227336 southeast 18972.5 2547055 7 5 2 34 female 27.5 1 no 33 male 22.705 0 no 32 female 37.145 3 no 32 male 28.88 0 no southwest 5003.853 1983883 northeast 21984.47 1997443 northeast 6334.344 958529 northeast 3866.855 2338428 2 0 1 6 32 female 17.765 2 yes 32 female 33.155 3 no northwest 32734.19 4290902 northwest 6128.797 3929967 3 7 32 female 29.8 2 no southwest 5152.134 3603044 4 31 male 28.5 5 no northeast 6799.458 4975520 3 31 male 26.885 1 no northeast 4441.213 2402220 6 31 female 25.74 0 по southeast 3756.622 1754763 1 31 female 36.63 2 no southeast 4949.759 4812119 0 31 male 36.3 2 yes 30 male 25.46 0 по 30 male 28.69 3 yes southwest 38711 1387033 northeast 3645.089 3923821 northwest 20745.99 2393965 0 1 4 30 male 35.53 0 yes southeast 36950.26 4578702 4 30 male 35.3 0 yes southwest 36837.47 2887712 5 30 female 32.4 1 no southwest 4149.736 1039297 0 30 female 30.9 3 no southwest 5325.651 1491953 2 29 male 29.735 2 no northwest 18157.88 1957803 7 29 female 32.11 2 no northwest 4922.916 1617258 7 29 female 29.59 1 no 29 male 27.94 0 по southeast 3947.413 887049 southeast 2867.12 4453468 29 female 27.94 1 yes 29 female 38.83 3 no 28 female 34.77 0 по 28 female 25.935 1 no 28 male 33 3 no southeast 19107.78 4816308 southeast 5138.257 1185219 northwest 3556.922 1502506 northwest 4133.642 2280029 southeast 4449.462 3455786 OMMO 0 3 3 4 3 4 0

Continuing from my previous statistics question. Kindly see below attached images to be used as well for the previously submitted question today as there are four images and I could only attach two per question. The Health Ministry in Bahamas is concerned with the high incidence of heart attacks and strokes over the last ten years. They are interested in determining the causal factors in order to develop appropriate mitigating strategies to combat these issues. A consultant was hired and data collected on 200 healthcare recipients. Using the data in the Microsoft Excel file attached you are required to use the knowledge you have acquired during the semester to answer the following question. Ensure that your responses are detailed and all the necessary steps are clearly outlined. The Description of the variables in the data set is given below • age: age of the respondent • gender: female, male • bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, • children: number of dependents • smoker: smoker or non-smoker • region: the respondent's residential area (northeast, southeast, southwest, northwest. • charges: individual medical costs billed by health insurance • income: respondent’s salary • exercise: number of days of exercise per week Question 1 i. At the 5% level of significance, conduct a hypothesis test to determine if the average age of respondents vary across region. ii. Confirm test results in part (i) using JASP. Note: All JASP input files and output tables should be provided Question 2 i. Derive a model for the estimation of the body mass index from the average income. ii. Confirm test results in part (i) using JASP. Note: All JASP input files and output tables should be provided iii. Is the model significant? Provide all steps. Question 3 i. Using JASP, develop a model to determine if the medical cost is dependent on the income, age of respondents and the number of days of exercise per week. Is the model useful? ii. Should any of the variables be removed from the model. In responding, construct and test any appropriate hypothesis. iii. Would the addition of the body mass index improve the predictive power of the model? Explain. Question 4 i. Using JASP, determine if there is a difference in the average medical cost by residential area. ii. Which region(s) showed difference in the average medical cost by residential area. Explain. Question 5 i. Conclude whether smoking is associated with residential area. ii. Is there an association between the number of days of exercise and gender?