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The regression equation Netincome = 2,604 + .0315 Revenue was estimated from a sample of 100 leading world companies (variables are in millions of dollars).
The regression equation Netincome = 2,604 + .0315 Revenue was estimated from a sample of 100 leading world companies (variables are in millions of dollars). (a-1) If Revenue = 1, then Netincome = million. (Round your answer to 2 decimal places.) (a-2) Choose the correct statement. O Decreasing the revenue raises the net Income. Increasing the revenue lowers the net income. Increasing the revenue raises the net income. (b) Choose the right option. The Intercept is meaningful because a firm can have net income when revenue is zero. The intercept is not meaningful because a firm cannot have net income when revenue is zero. (c) If Revenue = 21,401, then Netincome = million. (Round your answer to the nearest whole number.)The regression equation Credits = 14.7 - 0.09 Work was estimated from a sample of 21 statistics students. (a-1) Calculate the residual for the x, y pair (10, 19). (Round your answer to 2 decimal places.) Residual (a-2) Did the regression equation underestimate or overestimate the credits? O The regression equation overestimated the number of credits. O The regression equation underestimated the number of credits. (b-1) Calculate the residual for the x, y pair (28, 7). (A negative value should be Indicated by a minus sign. Round your answer to 1 decimal place.) Residual (b-2) Did the regression equation underestimate or overestimate the credits? O The regression equation underestimated the number of credits. O The regression equation overestimated the number of credits
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