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{"ops":[{"insert":"\n\n\nShe wanted to know the effect of her spending in advertisement of \u2018Kahwa\u2019 on the sales, \n\n\n\nalong with the other factors; \u2018number of sales representatives\u2019, \u2018customer-satisfaction \n\n\n\nratings\u2019. For this research she has gathered the sales data in the following table, along \n\n\n\nwith other necessary information.\n\n\n\nPart 1) Define dependent and independent variables\n\n\n\nPart 2) Write regression model equation only.\n\n\n\nPart 3) Run regression analysis in EXCEL (copy all those tables from EXCEL and paste \n\n\n\nthem in your document). \n\n\n\nPart 4) Write the Interpretation of Regression statistics-table, ANOVA- table. \n\n\n\nWrite an interpretation (by referring P-value\/ t-stat) on significant effect of independent variables on sales.\n\nRegion\/ \r\nDistricts\r\nSales of \r\nKahwa (in \r\nINR)\r\nSpending in \r\nadvertise (in INR)\r\nnumber of sales \r\nrepresentatives \r\n(person)\r\ncustomer-satisfaction \r\nratings (1=highly \r\ndissatisfied to 5 = \r\nhighly satisfied\r\nKupwara 55328 5512 1 1\r\nBadgam 56251 8337 1 1\r\nLeh-ladakh 57126 8788 4 1\r\nKargil 58739 8828 5 1\nPunch 66984 9050 5 2\r\nRajouri 70676 10150 7 2\r\nKathua 73206 11236 8 2\r\nBaramula 80571 12538 8 3\r\nBandipore 93168 13161 8 3\r\nSrinagar 99432 13448 9 4\n"}]}

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