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1) For set of data, total variation or sum of squares for y is SST = 143.0, and error sum of squares is SSE = 24.0. What proportion of variation in y is described by the regression equation?

2) In a regression analysis, the sum of the squared deviations between y and y is SST = 200.0. If the sum of the squared deviations about the regression line is SSE = 40.0, what is the coefficient of determination?

3) For leading health maintenance organization (HMO) firms, lists number of persons enrolled in HMO along with number of plans the firm administers. Given these data, find out least-squares equation for predicting total enrolment as a function of number of plans administered. What would be estimated total enrolment for HMO firm that administered 20 plans?

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Category:- Statistics and Probability
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