The weight (in pounds) and height (in inches) for a child were measured every few months over a two-year period. The results are displayed in the scatterplot. The equation ý = 17.4 + 0.5x is called the least-squares regression line because it O is least able to make accurate predictions for the A Child's Weight and Height data. O makes the strongest association between weight and height. 40 36 O minimizes the sum of the squared distances from the actual y-value to the predicted y-value. 32 maximizes the sum of the squared distances from the actual y-value to the predicted y-value. 24 20 68 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 Height (Inches)

Q: Can this be done by a person ?

A: Given f(t)=2t3Find Laplace transform of f(t) .

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A: We are given an equation for the line of best fit as,

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A: F(s)=(-4s-2) /(s2-2s+26)

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A:

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A: 5)

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Q: Question is What do you conclude?

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.