Question

Engineers concerned about a tower's stability have done extensive studies of its increasing tilt. Measurements of the lean of the tower over time provide much useful information. The following table gives measurements for the years 1975 to 1987. The variable "lean" represents the difference between where a point on the tower would be if the tower were straight and where it actually is. The data are coded as tenths of a millimeter in excess of 2.9 meters, so that the 1975 lean, which was 2.9646 meters, appears in the table as 646. Only the last two digits of the year were entered into the computer.

Year	75	76	77	78	79	80	81	82	83	84	85	86	87
Lean	646	648	660	670	676	691	700	701	717	721	728	745	761

(a) Plot the data. Consider whether or not the trend in lean over time appears to be linear. (Do this on paper. Your instructor may ask you to turn in this graph.)

(b) What is the equation of the least-squares line? (Round your answers to three decimal places.)
y =  +  x

What percent of the variation in lean is explained by this line? (Round your answer to one decimal place.)
%

(c) Give a 99% confidence interval for the average rate of change (tenths of a millimeter per year) of the lean. (Round your answers to two decimal places.)
( , )

Answer 1

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Interpretation:

The scatterplot enables that the trend is upward, and the trend in lean over time appears to be linear. The strenght of the linear relationship between the two quantitative variables Year (X) and Lean (Y) is positive.

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Interpretation:

The value of the coefficient of determination is R² = 98.69% of the variation in the dependent variable Lean(Y) can be explained by the independent variable Year(X). It means that the fitted model of the given data is very good. The overall fit of the model is awsome.

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