Please provide all working and answers to the attached file. Do not use excel for calculations, needing formulas and step by step answers for this assignment.Statistics.pdf

Please show work in excel. 1.  Suppose Foot Locker strongly encourages its employees to make formal suggestions to improve the store, the product, and the working environment. Suppose a quality auditor keeps records of the suggestions, the persons who submitted them, and the geographic region from which they come. A possible breakdown of the number of suggestions over a 3-year period by employee sex and geographic location follows. Is there any relationship between the sex of the employee and the geo-graphic location in terms of number of suggestions? If they are related, what does this relationship mean to the company? What business implications might there be for such an analysis?*Supplement attached for this question with chart Results:  chi-square = 28.7 degrees of freedom = 5 probability = 0.000 a) is there a relationship between geographic location and sex in terms of numbers of suggestions?, and  b) if they are related, what does this relationship mean to the company?  2. Executives of a video rental chain want to predict the success of a potential new store.  The company’s researcher begins by gathering information on number of rentals and average family income from several of the chain’s present outlets. Develop a regression model to predict the number of rentals per day by the average family income.  Comment on the output. **Supplement attached for this question with chart

Please provide step by step answers, including any formulas used,Statistics3.pdf for the attached document.