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Answer plz For the data given below regression line y on x, y=a+bx is fitted y = 175.8288 + 49.9101(x) X yx x2 487 1,461

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For the data given below regression line y on x, y=a+bx is fitted y = 175.8288 + 49.9101(x) X yx x2 487 1,461 237,169 445 2,225 198,025 25 272 544 73,984 4 641 5,128 410,881 64 187 IN 374 34,969 4 440 6 2,640 193,600 36 346 2,422 119,716 49 238 238 56,644 1 312 1,248 97,344 16 269 OONA - 538 72,361 4 655 5,895 429,025 81 563 3,378 316,969 36 Sum 4855 55 26091 2240286 4855 (i) Fit regression line x on y, x c+dy Either by using normal equation or by using direct formulas for c and d (Hint: in formula of a and b just interchange x and y to obtain c and d formula) (ii) Find regression coefficient by using formula r =bxd (iii) Verify the result in part (ii) with 12(26,091) -55(4,855) r= V[12(329) - (55)'][12(2,240,687) -(4,855)'] = 0.8325

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