Each of the following pairs represents the number of licensed drivers (X) and the number of cars (Y) for seven houses in my neighborhood: Drivers X Cars Y 5 4 5 3 2 2 2 2 3 2 1 1 2 2 Construct a scatterplot to verify a lack of pronounced curvilinearity.    Determine the least squares equation for these data. (Remember, you will first have to calculate r, SSy, and SSx)    Determine the standard error of estimate, sy|x, given that n = 7.    Predict the number of cars for each of two new families with two and five drivers.

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Q: 2. Find the line that fits best for the data (the least-squares line) (1,1), (2,1),(3,3),(4,3)

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A: Solution According to guidelines we solve three subpart

Q: We use the form  ŷ = a + bx  for the least-squares line. In some computer printouts, the…

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A: Given data least square regression line : y^ = 3 + 5xhere x is temperature (in celsius) and y is…

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Q: 1 2 3 4 5 y 0 1 4 7 9 t

A:

Q: The height (sidewalk to roof) of notable tall buildings in America is compared to the number of…

A: Solution: Let X be the stories and Y be the height. From the given information,

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A: Given,x = [6,20,0,14,25,16,28,18,10,18] y = [15,31,10,16,28,20,40,25,12,15] The equation of the…

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