A medical experiment on tumor growth gives the following data table. X: 65, 70, 86, 100, 222. Y: 33, 35, 45, 52, 70. The least squares regression line was found. Using technology, it is determined that the total sum of squares (SST) was 898 and the sum of squares of regression (SSR) was 806.2. Calculate R2, rounded to three decimal places

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A: Class interval=(125 , 131)

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A:

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Q: 4. If P(A) = 0.5, P(B) = 0.6, and P(A n B) = 0.4, find a) P(AUB) b) P(An B') c) P(A' U B')

A: The given data is as follows:

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A: Mean()=98.06standard deviation()=0.68

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A: The given data is as follows: and are normally distributed and

Q: 1.1-6. If P(A) = 0.5, P(B) = 0.6, and P(A n B) = 0.4, find (a) P(A U B), (b) P(A n B'), c) P(A' U…

A: P(A)=0.5, P(B)=0.6, P(A ∩ B)=0.4

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