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2.The fitted intercept in a regression has little meaning if no data values near X = 0 have been observed.

True

False

6.The least squares regression line gives unbiased estimates of β₀ and β₁.

True

False

7.In a simple regression, the correlation coefficient r is the square root of R².

True

False

10.In simple linear regression, the coefficient of determination (R²) is estimated from sums of squares in the ANOVA table.

True

False

21.

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]