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2.The fitted intercept in a regression has little meaning if no data values near X = 0 have been observed.TrueFalse6.The least squares regression line gives unbiased estimates of β0 and β1.TrueFalse7.In a simple regression, the correlation coefficient r is the square root of R2.TrueFalse10.In simple linear regression, the coefficient of determination (R2) is estimated from sums of squares in the ANOVA table.TrueFalse21.The fitted regression is Sales = 984 − 30.1 Price.(a)(a-1)If Price = 1, what is the prediction for Sales? (Round your answer to 1 decimal place.)Sales[removed](b)If Price = 22, what is the prediction for Sales? (Round your answer to the nearest whole number.)Sales[removed]22.The regression equation NetIncome = 2,521 + 0.0389 Revenue was fitted from a sample of 100 leading world companies (variables are in millions of dollars).(a)(a-1)If Revenue = 1, then NetIncome = [removed] million. (Round your answer to 2 decimal places.)(c)If Revenue = 24,304, then NetIncome = [removed] million. (Round your answer to the nearest whole number.)23.(a-1)Calculate the residual for the x, y pair ($47,815, $4,561). (Negative value should be indicated by a minus sign. Round your answer to 4 decimal places.)Residual[removed]25.(b-1)Calculate the residual for the x, y pair ($62,824, $5,359).(Negative value should be indicated by a minus sign. Round your answer to 4 decimal places.)Residual[removed]

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