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Weight X 5860, 4080, 6430, 5200, 5800, 5550 Variability

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Weight X – 5860, 4080, 6430, 5200, 5800, 5550
Variability Y – 2.24, 1.33, 2.69 1.74, 1.83, 1.97 (a) x=4500lb (b) x=5700lb (c) x=7800lb (d) x=4700lb

Find the equation of the regression line for the given data. Then construct a scatter plot of the given data and draw the regression line. (Each pair of variables has a significant correlation) Then use the regression equation to predict the value of y for each of the given x values, if meaningful. The table shows the weights in pounds of 6 vehicles and the variability of their braking distances, in feet when stopping on a dry surface.

(A) Find the regression equation.
(B) Sketch the scatterplot.
(C) Predict the value for x=4500lb, please select the correct answer.
a. 1.44 b. 2.08 c. 3.21 d. Not Meaningful
(D) Predict the value for x=5700lb, please select the correct answer.
a. 1.55 b. 2.08 c. 1.44 d. Not Meaningful
(E) Predict the value for x=7800lb, please select the correct answer.
a. 1.55 b. 3.21 c. 1.44 d. Not Meaningful
(F) Predict the value for x=4700lb, please select the correct answer.
a. 2.08 b. 1.55 c. 3.21 d. Not Meaningful

abozer :

Hi,

abozer :

I'm preparing a solution in Excel. Is that ok?

JACUSTOMER-cs4i412g- :

Yes that would be great, thank you.

abozer :

Here you go,

abozer :

File

abozer :

Let me know if you have any questions.

JACUSTOMER-cs4i412g- :

It looks perfect thank you!

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